Heuristic Algorithms: Navigating AI's Evolution

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Greedy heuristics, for instance, make optimal local choices for quick, though not always perfect, solutions, useful in tasks like network routing. Genetic algorithms simulate evolution, iteratively refining solutions, as seen in optimizing logistics for companies like FedEx. The A* algorithm combines greedy search and dynamic programming to find the shortest path, famously used in GPS navigation systems. Each heuristic type brings unique strengths, enhancing AI’s capability to address diverse and intricate challenges across industries.","upvoteCount":21,"datePublished":"2024-05-15T21:35:25.822+00:00","dateModified":"","url":"https://www.linkedin.com/advice/1/what-role-do-heuristic-algorithms-play-71une?contributionUrn=urn%3Ali%3Acomment%3A%28articleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438494380033%29%2C7196624240807170048%29&articleSegmentUrn=urn%3Ali%3AarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438494380033%29&dashContributionUrn=urn%3Ali%3Afsd_comment%3A%287196624240807170048%2CarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438494380033%29%29","author":{"@type":"Person","url":"https://www.linkedin.com/in/stevegereb","name":"Stephen Gereb","image":"https://media.licdn.com/dms/image/v2/D4D03AQF3VBwXshhB_Q/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1670346470152?e=2147483647&v=beta&t=Nkd0t1KQFDxxrhh1qO2JT9Az5oIvO3J4fy7c2tDRY0s","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/FollowAction","name":"Followers","userInteractionCount":0}}},"suggestedAnswer":[{"@type":"Answer","text":"The Heuristic algorithms often mimic biological evolution. However, many newly \"invented algorithms\" are essentially old concepts rebranded (old wine in a new bottle).\n\nThe problems with these algorithms include:\n\n- Random Nature: They produce different results each time they are run.\n- Lack of Optimality Guarantee: There's no assurance that the solution found is the optimal one.\n- Slow Convergence: They typically take a long time to converge.\n\nI personally recommend sticking to classic methods, such as the simplex method or constraint programming, to ensure the quality of the solution is guaranteed.","upvoteCount":21,"datePublished":"2024-06-08T15:48:43.850+00:00","dateModified":"2024-06-08T15:50:01.835+00:00","url":"https://www.linkedin.com/advice/1/what-role-do-heuristic-algorithms-play-71une?contributionUrn=urn%3Ali%3Acomment%3A%28articleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438519521280%29%2C7205234299787247617%29&articleSegmentUrn=urn%3Ali%3AarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438519521280%29&dashContributionUrn=urn%3Ali%3Afsd_comment%3A%287205234299787247617%2CarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438519521280%29%29","author":{"@type":"Person","url":"https://ie.linkedin.com/in/soroudi","name":"Alireza Soroudi, PhD","image":"https://media.licdn.com/dms/image/v2/C4E03AQEThBbeVOA2Vg/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1644400803982?e=2147483647&v=beta&t=TbZzazPeGUlDtQH1mQELEMLRdYkPqmHpzDzCqOMsvcM","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/FollowAction","name":"Followers","userInteractionCount":0}}},{"@type":"Answer","text":"\"Artificial intelligence might just be Silicon Valley's modern Prometheus, giving digital fire to the tech-hungry mortals,\" I'd often say in my talks. Heuristic algorithms are a big part of this mythos, serving as the cognitive shortcuts that empower AI to make judicious decisions when outright omniscience isn't possible. These efficient, rough-hewn tools enable machines to achieve a semblance of human-like reasoning without needing to turn every stone along the way. Adopting a page from Sherlock Holmes, heuristics allow AIs to make swift deductions when they say, \"when you have eliminated the impossible, whatever remains, however improbable, must be the truth.\"","upvoteCount":12,"datePublished":"2024-05-16T04:41:16.183+00:00","dateModified":"","url":"https://www.linkedin.com/advice/1/what-role-do-heuristic-algorithms-play-71une?contributionUrn=urn%3Ali%3Acomment%3A%28articleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438485893120%29%2C7196731406788489216%29&articleSegmentUrn=urn%3Ali%3AarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438485893120%29&dashContributionUrn=urn%3Ali%3Afsd_comment%3A%287196731406788489216%2CarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438485893120%29%29","author":{"@type":"Person","url":"https://ae.linkedin.com/in/isaactcohen","name":"Isaac Cohen 🥭","image":"https://media.licdn.com/dms/image/v2/D4E03AQGSJmt78sAVrg/profile-displayphoto-shrink_400_400/B4EZSWHUpjG0Ag-/0/1737685290055?e=2147483647&v=beta&t=6GINH_7Xrf4ugjFe1PV6d8gHTF0ecq7YAfU4wmOPAnQ","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/FollowAction","name":"Followers","userInteractionCount":0}}},{"@type":"Answer","text":"Heuristic algorithms are like puzzle-solving shortcuts for AI, enabling it to navigate vast problem spaces efficiently. Greedy heuristics offer quick decisions but may miss the bigger picture, while genetic algorithms evolve solutions over time, akin to natural selection. The A* algorithm strikes a balance by seeking optimal paths with smart planning. These diverse strategies empower AI systems to adapt and excel in various challenging scenarios. By embracing heuristic diversity, we're essentially equipping AI with an arsenal of problem-solving tools that can be tailored to specific tasks much like a Swiss Army knife for the digital age!","upvoteCount":12,"datePublished":"2024-05-14T13:01:32.605+00:00","dateModified":"","url":"https://www.linkedin.com/advice/1/what-role-do-heuristic-algorithms-play-71une?contributionUrn=urn%3Ali%3Acomment%3A%28articleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438494380033%29%2C7196132529060433920%29&articleSegmentUrn=urn%3Ali%3AarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438494380033%29&dashContributionUrn=urn%3Ali%3Afsd_comment%3A%287196132529060433920%2CarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438494380033%29%29","author":{"@type":"Person","url":"https://be.linkedin.com/in/sebdg","name":"Sébastien De Greef","image":"https://media.licdn.com/dms/image/v2/C4D03AQG5jnGDXkl5gg/profile-displayphoto-shrink_200_200/profile-displayphoto-shrink_200_200/0/1516963565099?e=2147483647&v=beta&t=tKYZgkWUUuw1r7XXz7dqul8yKliDY71YWKcmnqnjtWg","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/FollowAction","name":"Followers","userInteractionCount":0}}},{"@type":"Answer","text":"\"Perfection is the enemy of the good,\" Voltaire would have surely preached in the context of AI, had he been a programmer and not a philosopher. Heuristic algorithms are not the golden ticket to Willy Wonka's factory of flawless solutions; they're more of a backdoor pass - not perfect, but often good enough. Custom tailoring these algorithms to spot-on problem-solving is the work of bespoke craftsmanship in a ready-to-wear world: it's an art and a science. As the world evolves, crafting heuristics that are adaptable yet effective is akin to writing a bestseller that's both a critical darling and a crowd-pleaser.","upvoteCount":12,"datePublished":"2024-05-16T04:42:15.175+00:00","dateModified":"","url":"https://www.linkedin.com/advice/1/what-role-do-heuristic-algorithms-play-71une?contributionUrn=urn%3Ali%3Acomment%3A%28articleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438506942464%29%2C7196731654218887170%29&articleSegmentUrn=urn%3Ali%3AarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438506942464%29&dashContributionUrn=urn%3Ali%3Afsd_comment%3A%287196731654218887170%2CarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438506942464%29%29","author":{"@type":"Person","url":"https://ae.linkedin.com/in/isaactcohen","name":"Isaac Cohen 🥭","image":"https://media.licdn.com/dms/image/v2/D4E03AQGSJmt78sAVrg/profile-displayphoto-shrink_400_400/B4EZSWHUpjG0Ag-/0/1737685290055?e=2147483647&v=beta&t=6GINH_7Xrf4ugjFe1PV6d8gHTF0ecq7YAfU4wmOPAnQ","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/FollowAction","name":"Followers","userInteractionCount":0}}},{"@type":"Answer","text":"Peering into the crystal ball of AI's future, one can envision heuristic algorithms donning smarter cloaks, slipping into the fabric of more complex, learning AI systems. Like a chess grandmaster learning new openings, these algorithms are set to marry classic heuristics with emerging machine learning techniques to form an alliance of old and new. In the realm of meta-heuristics, it's like AI is getting its own version of the Jedi Council—a gathering of wise strategies from which newer, more potent heuristics can be forged. The philosopher Seneca's words ring true here: \"Luck is what happens when preparation meets opportunity.\" As AI prepares with better heuristics, the opportunities are boundless.","upvoteCount":12,"datePublished":"2024-05-16T04:42:25.777+00:00","dateModified":"","url":"https://www.linkedin.com/advice/1/what-role-do-heuristic-algorithms-play-71une?contributionUrn=urn%3Ali%3Acomment%3A%28articleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438511054850%29%2C7196731698686914563%29&articleSegmentUrn=urn%3Ali%3AarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438511054850%29&dashContributionUrn=urn%3Ali%3Afsd_comment%3A%287196731698686914563%2CarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438511054850%29%29","author":{"@type":"Person","url":"https://ae.linkedin.com/in/isaactcohen","name":"Isaac Cohen 🥭","image":"https://media.licdn.com/dms/image/v2/D4E03AQGSJmt78sAVrg/profile-displayphoto-shrink_400_400/B4EZSWHUpjG0Ag-/0/1737685290055?e=2147483647&v=beta&t=6GINH_7Xrf4ugjFe1PV6d8gHTF0ecq7YAfU4wmOPAnQ","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/FollowAction","name":"Followers","userInteractionCount":0}}},{"@type":"Answer","text":"There are different breeds of heuristic algorithms, each with its own ideation of problem-solving. Picture a Swiss Army knife; some tools are crafted for specific tasks, whereas others are more versatile. Greedy heuristics aspire for the nearest cherry on the tree, a local optima, without necessarily striving for the absolute best, very much in the spirit of the age-old adage, \"a bird in the hand is worth two in the bush.\" Genetic algorithms play Darwin, evolving solutions over generations. And the A* algorithm? It's the road-trip enthusiast of AIs, finding efficient routes much as a human would by mapping out a cross-country journey using landmarks and signposts — taking the scenic route when time allows, or the highway when it doesn’t.","upvoteCount":11,"datePublished":"2024-05-16T04:41:46.997+00:00","dateModified":"","url":"https://www.linkedin.com/advice/1/what-role-do-heuristic-algorithms-play-71une?contributionUrn=urn%3Ali%3Acomment%3A%28articleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438494380033%29%2C7196731536031772672%29&articleSegmentUrn=urn%3Ali%3AarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438494380033%29&dashContributionUrn=urn%3Ali%3Afsd_comment%3A%287196731536031772672%2CarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438494380033%29%29","author":{"@type":"Person","url":"https://ae.linkedin.com/in/isaactcohen","name":"Isaac Cohen 🥭","image":"https://media.licdn.com/dms/image/v2/D4E03AQGSJmt78sAVrg/profile-displayphoto-shrink_400_400/B4EZSWHUpjG0Ag-/0/1737685290055?e=2147483647&v=beta&t=6GINH_7Xrf4ugjFe1PV6d8gHTF0ecq7YAfU4wmOPAnQ","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/FollowAction","name":"Followers","userInteractionCount":0}}},{"@type":"Answer","text":"\"AI is no magic wand, but when armed with heuristics, it's the next best thing in our techno-sorcerer's toolkit,\" I'd jest. Heuristic algorithms are the scouts sent out into the treacherous wilderness of data to find a passable path when the perfect path is a fairy tale. In real-time applications like routing logistics, heuristics are the quick-on-their-feet trailblazers that decide which turns might lead to dead ends and which could be shortcuts. They heed the wisdom of General Patton: \"A good plan, violently executed now, is better than a perfect plan next week.\"","upvoteCount":10,"datePublished":"2024-05-16T04:41:59.818+00:00","dateModified":"","url":"https://www.linkedin.com/advice/1/what-role-do-heuristic-algorithms-play-71une?contributionUrn=urn%3Ali%3Acomment%3A%28articleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438502748161%29%2C7196731589811167233%29&articleSegmentUrn=urn%3Ali%3AarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438502748161%29&dashContributionUrn=urn%3Ali%3Afsd_comment%3A%287196731589811167233%2CarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438502748161%29%29","author":{"@type":"Person","url":"https://ae.linkedin.com/in/isaactcohen","name":"Isaac Cohen 🥭","image":"https://media.licdn.com/dms/image/v2/D4E03AQGSJmt78sAVrg/profile-displayphoto-shrink_400_400/B4EZSWHUpjG0Ag-/0/1737685290055?e=2147483647&v=beta&t=6GINH_7Xrf4ugjFe1PV6d8gHTF0ecq7YAfU4wmOPAnQ","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/FollowAction","name":"Followers","userInteractionCount":0}}},{"@type":"Answer","text":"Heuristic algorithms are like clever tricks that help AI think faster. Imagine you're lost in a maze: instead of checking every turn, you might follow signs or look for familiar landmarks. That's what Heuristic algorithms help AI find solutions more efficiently. For instance, in a game, AI may use a heuristic to determine the most likely winning move, improving its gameplay and learning speed.","upvoteCount":9,"datePublished":"2024-05-14T21:00:59.192+00:00","dateModified":"","url":"https://www.linkedin.com/advice/1/what-role-do-heuristic-algorithms-play-71une?contributionUrn=urn%3Ali%3Acomment%3A%28articleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438485893120%29%2C7196253184867151872%29&articleSegmentUrn=urn%3Ali%3AarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438485893120%29&dashContributionUrn=urn%3Ali%3Afsd_comment%3A%287196253184867151872%2CarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438485893120%29%29","author":{"@type":"Person","url":"https://ca.linkedin.com/in/harshkachhadiya","name":"Harsh Kachhadiya","image":"https://media.licdn.com/dms/image/v2/D4E03AQHAeIzlPB3ztw/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1722608431453?e=2147483647&v=beta&t=7-gdhnSDFjJsb-SrWAJ6Gdql4bniLc9Zm8T5bad0348","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/FollowAction","name":"Followers","userInteractionCount":0}}},{"@type":"Answer","text":"As humans, we learn to talk and walk over time. This involves a lot of trial and error. Neural networks in our brains are built up over time that help us achieve these tasks. We also learn through inference. i.e. If this is like that then that must be like that. This is called associative learning.\n\nMachines, even with their high processing power and ridiculous storage struggle to make decisions where they do not every single piece of the puzzle. That's where heuristic algorithms come in. It provides a method for AI to make decisions with incomplete information using inference. Therefore, it is an integral part of AI development.","upvoteCount":9,"datePublished":"2024-05-15T22:44:39.259+00:00","dateModified":"","url":"https://www.linkedin.com/advice/1/what-role-do-heuristic-algorithms-play-71une?contributionUrn=urn%3Ali%3Acomment%3A%28articleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438485893120%29%2C7196641661588750336%29&articleSegmentUrn=urn%3Ali%3AarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438485893120%29&dashContributionUrn=urn%3Ali%3Afsd_comment%3A%287196641661588750336%2CarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438485893120%29%29","author":{"@type":"Person","url":"https://au.linkedin.com/in/sameera-bandara","name":"Sameera Bandara","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/FollowAction","name":"Followers","userInteractionCount":0}}},{"@type":"Answer","text":"One of my favourite quotes is \"Intelligence is the ability to adapt to change\" by Stephen Hawking. Likewise, in simpler words, heuristic algorithms are like the quick-thinking, street-smart part of artificial intelligence. They help AI solve tough problems by finding good enough solutions fast, rather than getting stuck trying to be perfect. It is like when we are trying to find the best route home in a busy city, instead of checking every single path, heuristics help AI zero in on the most promising ones quickly. So this makes AI more efficient and capable of making smart decisions on the fly, just like we do in our everyday lives. Hope this helps!","upvoteCount":8,"datePublished":"2024-05-16T23:07:21.984+00:00","dateModified":"","url":"https://www.linkedin.com/advice/1/what-role-do-heuristic-algorithms-play-71une?contributionUrn=urn%3Ali%3Acomment%3A%28articleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438502748161%29%2C7197009765133103104%29&articleSegmentUrn=urn%3Ali%3AarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438502748161%29&dashContributionUrn=urn%3Ali%3Afsd_comment%3A%287197009765133103104%2CarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438502748161%29%29","author":{"@type":"Person","url":"https://uk.linkedin.com/in/nicoladecoppi","name":"Nicola De Coppi","image":"https://media.licdn.com/dms/image/v2/D4D03AQEdqyZJKBI7gA/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1729167780499?e=2147483647&v=beta&t=C7K_a2FKkbM8Sf3I0no1-B0gPdmlIAD8NUt5kTNutvs","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/FollowAction","name":"Followers","userInteractionCount":0}}},{"@type":"Answer","text":"In the future, heuristic algorithms will likely continue to play a vital role in AI and problem-solving domains. However, their evolution will likely focus on enhancing their efficiency, scalability, and adaptability. With advances in computing power and algorithmic techniques, we may see heuristic algorithms being applied to more complex and large-scale problems across various domains such as healthcare, finance, and transportation. Additionally, there might be increased integration of heuristic methods with other AI techniques like machine learning and deep learning to leverage the strengths of each approach.","upvoteCount":7,"datePublished":"2024-05-15T04:43:42.524+00:00","dateModified":"","url":"https://www.linkedin.com/advice/1/what-role-do-heuristic-algorithms-play-71une?contributionUrn=urn%3Ali%3Acomment%3A%28articleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438511054850%29%2C7196369632725733376%29&articleSegmentUrn=urn%3Ali%3AarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438511054850%29&dashContributionUrn=urn%3Ali%3Afsd_comment%3A%287196369632725733376%2CarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438511054850%29%29","author":{"@type":"Person","url":"https://in.linkedin.com/in/anupam-anand-266b303","name":"Anupam Anand","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/FollowAction","name":"Followers","userInteractionCount":0}}},{"@type":"Answer","text":"Los algoritmos heurísticos son cruciales en la evolución de la inteligencia artificial (IA) porque proporcionan soluciones aproximadas a problemas complejos cuando los métodos exactos son impracticables. Permiten encontrar soluciones rápidas y viables, mejoran la eficiencia al reducir el espacio de búsqueda y son adaptables a diversos problemas. Además, facilitan la evolución de los modelos de IA a través de técnicas como los algoritmos genéticos, que simulan procesos de selección natural. En conjunto, estos algoritmos son esenciales para la optimización y aplicación práctica de la IA en múltiples campos.","upvoteCount":6,"datePublished":"2024-05-14T18:12:21.440+00:00","dateModified":"","url":"https://www.linkedin.com/advice/1/what-role-do-heuristic-algorithms-play-71une?contributionUrn=urn%3Ali%3Acomment%3A%28articleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438485893120%29%2C7196210747943616512%29&articleSegmentUrn=urn%3Ali%3AarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438485893120%29&dashContributionUrn=urn%3Ali%3Afsd_comment%3A%287196210747943616512%2CarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438485893120%29%29","author":{"@type":"Person","url":"https://es.linkedin.com/in/osvaldocarrillo","name":"Osvaldo C.","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/FollowAction","name":"Followers","userInteractionCount":0}}},{"@type":"Answer","text":"As problems become more sparse and complex, the solutions must follow akin. In case where classic methods underperform, we can use HA. Some examples: \n1) greedy algo: in finding your nearest neighbour, find the optimal path, that will help you in achieving the overall optimal solution. \n2) local search algo: start with one path & explore it neighbours to find a better solution. \n3) tabu search: use my tabu list (list of previously solutionised problems) as a start and improve upon them in light of new info. \n4) Search*: for my pathfindings and graph traversal algo.","upvoteCount":6,"datePublished":"2024-05-16T05:48:20.293+00:00","dateModified":"","url":"https://www.linkedin.com/advice/1/what-role-do-heuristic-algorithms-play-71une?contributionUrn=urn%3Ali%3Acomment%3A%28articleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438485893120%29%2C7196748285129195524%29&articleSegmentUrn=urn%3Ali%3AarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438485893120%29&dashContributionUrn=urn%3Ali%3Afsd_comment%3A%287196748285129195524%2CarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438485893120%29%29","author":{"@type":"Person","url":"https://mu.linkedin.com/in/irshad-jackaria-bcom-bcom-hons-dinv-msc-mcips-cfa-0578658","name":"Irshad Jackaria, BCom, BCom (Hons), DInv, MSc, MCIPS, CFA","image":"https://media.licdn.com/dms/image/v2/D4D03AQEfD8HQNscc0w/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1716296570774?e=2147483647&v=beta&t=TIrQaRHqKyt0o2UPPhv6FcZl3B33wxuuxaAGD_4O5Zc","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/FollowAction","name":"Followers","userInteractionCount":0}}},{"@type":"Answer","text":"Heuristic algorithms are vital for enabling AI systems to efficiently solve complex problems within constraints of time and resources. \n\nThese algorithms are especially crucial in dynamic environments, such as route planning, where they help AI quickly adapt and provide timely, albeit not perfect, solutions.","upvoteCount":5,"datePublished":"2024-05-14T16:04:19.831+00:00","dateModified":"","url":"https://www.linkedin.com/advice/1/what-role-do-heuristic-algorithms-play-71une?contributionUrn=urn%3Ali%3Acomment%3A%28articleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438502748161%29%2C7196178528936034304%29&articleSegmentUrn=urn%3Ali%3AarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438502748161%29&dashContributionUrn=urn%3Ali%3Afsd_comment%3A%287196178528936034304%2CarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438502748161%29%29","author":{"@type":"Person","url":"https://www.linkedin.com/in/tommy-chryst123","name":"Tommy Chryst","image":"https://media.licdn.com/dms/image/v2/D4E03AQFIMgFwrxGqfQ/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1716377194218?e=2147483647&v=beta&t=c8QNfxLKoZaW4ujJ5wYMxLfebyKDGLu3d331gR7jrJY","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/FollowAction","name":"Followers","userInteractionCount":0}}},{"@type":"Answer","text":"Heuristic algorithms are pivotal in AI for solving complex problems efficiently. By narrowing the search space, heuristics find good enough solutions quickly. For instance, in route planning, algorithms like A* prioritize promising paths without evaluating every possible route, significantly saving time. This method allows AI to make rapid decisions, crucial in dynamic environments such as ride-sharing services. For example, Uber's routing system uses heuristics to optimize driver routes and match passengers swiftly, ensuring efficient and timely rides. Heuristics thus enable AI to tackle complex tasks effectively, balancing speed and accuracy.","upvoteCount":5,"datePublished":"2024-05-15T21:36:45.171+00:00","dateModified":"","url":"https://www.linkedin.com/advice/1/what-role-do-heuristic-algorithms-play-71une?contributionUrn=urn%3Ali%3Acomment%3A%28articleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438502748161%29%2C7196624573625163776%29&articleSegmentUrn=urn%3Ali%3AarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438502748161%29&dashContributionUrn=urn%3Ali%3Afsd_comment%3A%287196624573625163776%2CarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438502748161%29%29","author":{"@type":"Person","url":"https://www.linkedin.com/in/stevegereb","name":"Stephen Gereb","image":"https://media.licdn.com/dms/image/v2/D4D03AQF3VBwXshhB_Q/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1670346470152?e=2147483647&v=beta&t=Nkd0t1KQFDxxrhh1qO2JT9Az5oIvO3J4fy7c2tDRY0s","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/FollowAction","name":"Followers","userInteractionCount":0}}},{"@type":"Answer","text":"Heuristic algorithms, while powerful, have notable limitations. They prioritize speed over perfection, often yielding \"good enough\" solutions rather than optimal ones. This can result in suboptimal outcomes or missed opportunities for better solutions. Moreover, heuristics are typically problem-specific and may not adapt well across different domains. For instance, in game development, heuristics like those used in NPC pathfinding can struggle with unpredictable player behavior, leading to less dynamic gameplay. The challenge in AI is to design heuristics that balance speed and accuracy while being versatile enough for varied applications.","upvoteCount":5,"datePublished":"2024-05-15T21:38:12.710+00:00","dateModified":"","url":"https://www.linkedin.com/advice/1/what-role-do-heuristic-algorithms-play-71une?contributionUrn=urn%3Ali%3Acomment%3A%28articleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438506942464%29%2C7196624940786147329%29&articleSegmentUrn=urn%3Ali%3AarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438506942464%29&dashContributionUrn=urn%3Ali%3Afsd_comment%3A%287196624940786147329%2CarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438506942464%29%29","author":{"@type":"Person","url":"https://www.linkedin.com/in/stevegereb","name":"Stephen Gereb","image":"https://media.licdn.com/dms/image/v2/D4D03AQF3VBwXshhB_Q/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1670346470152?e=2147483647&v=beta&t=Nkd0t1KQFDxxrhh1qO2JT9Az5oIvO3J4fy7c2tDRY0s","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/FollowAction","name":"Followers","userInteractionCount":0}}},{"@type":"Answer","text":"Heuristic algorithms are set to play an even more pivotal role as AI evolves. By integrating with machine learning, they form hybrid systems that adapt and improve over time. The rise of meta-heuristics, which develop new heuristics dynamically, marks a significant advance. For example, Google's AlphaGo uses a combination of heuristics and deep learning to master the complex game of Go, demonstrating the potential of such integrations. These advancements promise AI that is faster, more efficient, and better equipped to handle uncertainty and complexity, closely mimicking human cognitive processes and opening new frontiers in AI applications.","upvoteCount":5,"datePublished":"2024-05-15T21:39:26.835+00:00","dateModified":"","url":"https://www.linkedin.com/advice/1/what-role-do-heuristic-algorithms-play-71une?contributionUrn=urn%3Ali%3Acomment%3A%28articleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438511054850%29%2C7196625251689017344%29&articleSegmentUrn=urn%3Ali%3AarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438511054850%29&dashContributionUrn=urn%3Ali%3Afsd_comment%3A%287196625251689017344%2CarticleSegment%3A%28urn%3Ali%3AlinkedInArticle%3A7195097172504125442%2C7195097438511054850%29%29","author":{"@type":"Person","url":"https://www.linkedin.com/in/stevegereb","name":"Stephen 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itemprop="name">Engineering</span> </a> <meta itemprop="position" content="2"> </li> <li itemprop="itemListElement" itemscope itemtype="http://schema.org/ListItem" class="breadcrumb inline-block mr-0.5 font-sans text-sm babybear:text-xs text-color-text after:content-['/'] after:text-color-text-low-emphasis after:ml-0.5 after:no-underline last:mr-0 last:after:hidden"> <a aria-current="page" itemprop="item" class="breadcrumb__link inline-block link-no-visited-state !text-color-text" href="https://www.linkedin.com/pulse/topics/engineering-s166/artificial-intelligence-(ai)-s2407/" data-tracking-control-name="breadcrumb" data-tracking-will-navigate> <span class="font-semibold" itemprop="name">Artificial Intelligence (AI)</span> </a> <meta itemprop="position" content="3"> </li> </ol> </section> <h1 class="pulse-title text-display-md text-color-text lg:text-display-lg font-bold w-11/12 ">What role do heuristic algorithms play in the evolution of artificial intelligence?</h1>  <div class="powered-by-ai py-3 text-sm text-color-text-secondary">Powered by AI and the LinkedIn community</div> <section class="table-of-content pb-6"> <div class="group menu-item relative flex cursor-pointer flex-row justify-start border-0 pl-0" data-chunk-header-id="ai-basics"> <h3 class="text-color-text group-hover:text-color-text-brand">1</h3> <div class="ml-2 mr-6 mt-0.5 min-w-[75%]"> <a class="fragmented-links font-normal !text-color-text underline decoration-1 underline-offset-4 group-hover:!text-color-text-brand" href="#ai-basics" data-tracking-will-navigate data-tracking-control-name="article-ssr-frontend-x-article__toc-article-segment-navigation">AI Basics </a>  </div> <icon class="invisible absolute right-2 top-1/2 flex -translate-y-2/4 items-center justify-between rounded-full border-1 border-solid border-color-container-brand p-1 group-hover:visible" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/6q8fxh9snmcwlh1wxg6fktwgf" data-svg-class-name="w-2 h-2 text-color-text-brand"></icon> </div> <div class="group menu-item relative flex cursor-pointer flex-row justify-start border-0 pl-0" data-chunk-header-id="heuristic-types"> <h3 class="text-color-text group-hover:text-color-text-brand">2</h3> <div class="ml-2 mr-6 mt-0.5 min-w-[75%]"> <a class="fragmented-links font-normal !text-color-text underline decoration-1 underline-offset-4 group-hover:!text-color-text-brand" href="#heuristic-types" data-tracking-will-navigate data-tracking-control-name="article-ssr-frontend-x-article__toc-article-segment-navigation">Heuristic Types </a>  </div> <icon class="invisible absolute right-2 top-1/2 flex -translate-y-2/4 items-center justify-between rounded-full border-1 border-solid border-color-container-brand p-1 group-hover:visible" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/6q8fxh9snmcwlh1wxg6fktwgf" data-svg-class-name="w-2 h-2 text-color-text-brand"></icon> </div> <div class="group menu-item relative flex cursor-pointer flex-row justify-start border-0 pl-0" data-chunk-header-id="problem-solving"> <h3 class="text-color-text group-hover:text-color-text-brand">3</h3> <div class="ml-2 mr-6 mt-0.5 min-w-[75%]"> <a class="fragmented-links font-normal !text-color-text underline decoration-1 underline-offset-4 group-hover:!text-color-text-brand" href="#problem-solving" data-tracking-will-navigate data-tracking-control-name="article-ssr-frontend-x-article__toc-article-segment-navigation">Problem Solving </a>  </div> <icon class="invisible absolute right-2 top-1/2 flex -translate-y-2/4 items-center justify-between rounded-full border-1 border-solid border-color-container-brand p-1 group-hover:visible" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/6q8fxh9snmcwlh1wxg6fktwgf" data-svg-class-name="w-2 h-2 text-color-text-brand"></icon> </div> <div class="group menu-item relative flex cursor-pointer flex-row justify-start border-0 pl-0" data-chunk-header-id="ai-limitations"> <h3 class="text-color-text group-hover:text-color-text-brand">4</h3> <div class="ml-2 mr-6 mt-0.5 min-w-[75%]"> <a class="fragmented-links font-normal !text-color-text underline decoration-1 underline-offset-4 group-hover:!text-color-text-brand" href="#ai-limitations" data-tracking-will-navigate data-tracking-control-name="article-ssr-frontend-x-article__toc-article-segment-navigation">AI Limitations </a>  </div> <icon class="invisible absolute right-2 top-1/2 flex -translate-y-2/4 items-center justify-between rounded-full border-1 border-solid border-color-container-brand p-1 group-hover:visible" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/6q8fxh9snmcwlh1wxg6fktwgf" data-svg-class-name="w-2 h-2 text-color-text-brand"></icon> </div> <div class="group menu-item relative flex cursor-pointer flex-row justify-start border-0 pl-0" data-chunk-header-id="future-perspectives"> <h3 class="text-color-text group-hover:text-color-text-brand">5</h3> <div class="ml-2 mr-6 mt-0.5 min-w-[75%]"> <a class="fragmented-links font-normal !text-color-text underline decoration-1 underline-offset-4 group-hover:!text-color-text-brand" href="#future-perspectives" data-tracking-will-navigate data-tracking-control-name="article-ssr-frontend-x-article__toc-article-segment-navigation">Future Perspectives </a>  </div> <icon class="invisible absolute right-2 top-1/2 flex -translate-y-2/4 items-center justify-between rounded-full border-1 border-solid border-color-container-brand p-1 group-hover:visible" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/6q8fxh9snmcwlh1wxg6fktwgf" data-svg-class-name="w-2 h-2 text-color-text-brand"></icon> </div> <div class="group menu-item relative flex cursor-pointer flex-row justify-start border-0 pl-0" data-chunk-header-id="here’s-what-else-to-consider"> <h3 class="text-color-text group-hover:text-color-text-brand">6</h3> <div class="ml-2 mr-6 mt-0.5 min-w-[75%]"> <a class="fragmented-links font-normal !text-color-text underline decoration-1 underline-offset-4 group-hover:!text-color-text-brand" href="#here’s-what-else-to-consider" data-tracking-will-navigate data-tracking-control-name="article-ssr-frontend-x-article__toc-article-segment-navigation">Here’s what else to consider </a>  </div> <icon class="invisible absolute right-2 top-1/2 flex -translate-y-2/4 items-center justify-between rounded-full border-1 border-solid border-color-container-brand p-1 group-hover:visible" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/6q8fxh9snmcwlh1wxg6fktwgf" data-svg-class-name="w-2 h-2 text-color-text-brand"></icon> </div> </section> <div class="x-article-introduction"> <div class="article-main__content" data-test-id="publishing-text-block"> <p> <span class>Artificial intelligence (AI) has been a transformative force in technology, and heuristic algorithms have played a pivotal role in its evolution. Heuristics, essentially rules of thumb, guide AI systems towards solutions when exhaustive search is impractical. They simplify complex decision-making processes by focusing on the most promising options, rather than evaluating all possible scenarios. This approach is crucial in fields like computer vision and natural language processing, where the sheer volume of data makes traditional methods untenable. 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class="mr-0.5 truncate text-sm font-bold text-color-text lg:text-md"> Harsh Kachhadiya </span>  </div> <p class="m-0 truncate text-sm text-color-text-low-emphasis md:text-md" data-test-id="contribution-lock-up-headline"> CEO | Philanthropist | Programmer of ML, AI, Deep learning, CV, BI, Data Visualization, Big Data and GenerativeAI | Quant Finance… </p> </div> </a> <div class="flex items-center">  <div class="ellipsis-menu absolute right-0 top-0 contribution-control-menu relative" data-feed-action="show-comment-dropdown" data-id="comment__ellipsis-menu" data-feed-control="control_menu" data-tracking-control-name="comment_control_menu" data-feed-action-type="expandControl" data-feed-action-category="expand"> <div class="collapsible-dropdown flex items-center relative hyphens-auto"> <button class="ellipsis-menu__trigger collapsible-dropdown__button btn-md btn-tertiary cursor-pointer !py-[6px] !px-1 flex items-center rounded-[50%] ellipsis-menu__trigger--small w-[32px] h-[32px] flex 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You'll no longer see this contribution</p> </template> </li>  </ul>  </div> </div> <code id="contributionCopyLink" style="display: none"></code> <code id="contributionCopyFail" style="display: none"></code> <code id="contributionCopyUnsupported" style="display: none"></code> </div> </div> <div class="contribution__container left__border -mb-2 -mt-1 animate-show ml-0 pl-0 md:ml-[-41px] md:pl-[32px] pr-0 lg:ml-[-33px] lg:pl-[40px] lg:pr-1 pt-2 pb-4"> <div class="flex flex-col justify-between lg:flex-col"> <div class="flex items-center justify-between gap-1"> </div> </div> <div class="contribution__text-wrapper relative"> <p class="contribution__text mb-1 whitespace-pre-wrap pt-1 text-md leading-open text-color-text md:mb-0 md:pt-0 line-clamp-5 lg:text-lg" data-tracking-control-name="comment_text">Heuristic algorithms are like clever tricks that help AI think faster. Imagine you're lost in a maze: instead of checking every turn, you might follow signs or look for familiar landmarks. That's what Heuristic algorithms help AI find solutions more efficiently. For instance, in a game, AI may use a heuristic to determine the most likely winning move, improving its gameplay and learning speed.</p> <button class="contribution__see-more-button absolute bottom-0 right-0 hidden cursor-pointer border-0 bg-color-surface p-0 text-md leading-open text-color-text-secondary hover:text-color-action hover:underline lg:text-lg" data-tracking-control-name="comment_expand" data-feed-control="comment_expand" data-feed-action-type="expandContributionText" data-feed-action-category="EXPAND" role="button" type="button">…see more</button> </div>  <div class="contribution__social-action-bar relative right-1 flex flex-row items-center justify-start gap-1"> <div class="contribution-social-activity inline-flex items-center justify-start"> <code id="i18n_reaction_selection_state" style="display: none"></code> <div class="reactions-menu flex flex-row relative items-center justify-center select-none [-webkit-user-select:none] pointer-events-auto 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</div> </div>  </div>  </div>  </li> <li class="contribution" data-contribution-urn="urn:li:comment:(urn:li:articleSegment:(urn:li:linkedInArticle:7195097172504125442,7195097438485893120),7196641661588750336)" data-contributor-urn="urn:li:member:106049588" data-contribution-tracking-id="77nV/9DNAYnpk7z5NbehtA==" data-is-logged-in="false"> <div class="flex items-center justify-between"> <a href="https://au.linkedin.com/in/sameera-bandara?trk=article-ssr-frontend-x-article" target="_blank" data-tracking-control-name="comment_actor" data-tracking-will-navigate class="contribution__lockup relative flex items-center overflow-hidden pr-1 font-sans hover:no-underline focus:no-underline xs:left-[-56px]"> <figure class="top-[4px] inline-flex lg:hidden"> <img class="inline-block relative rounded-[50%] w-4 h-4 bg-color-entity-ghost-background" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/9c8pery4andzj6ohjkjp54ma2" data-ghost-classes="bg-color-entity-ghost-background" 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We also learn through inference. i.e. If this is like that then that must be like that. This is called associative learning. Machines, even with their high processing power and ridiculous storage struggle to make decisions where they do not every single piece of the puzzle. That's where heuristic algorithms come in. It provides a method for AI to make decisions with incomplete information using inference. 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You'll no longer see this contribution</p> </template> </li>  </ul>  </div> </div> <code id="contributionCopyLink" style="display: none"></code> <code id="contributionCopyFail" style="display: none"></code> <code id="contributionCopyUnsupported" style="display: none"></code> </div> </div> <div class="contribution__container left__border -mb-2 -mt-1 animate-show ml-0 pl-0 md:ml-[-41px] md:pl-[32px] pr-0 lg:ml-[-33px] lg:pl-[40px] lg:pr-1 pt-2 pb-4"> <div class="flex flex-col justify-between lg:flex-col"> <div class="flex items-center justify-between gap-1"> </div> </div> <div class="contribution__text-wrapper relative"> <p class="contribution__text mb-1 whitespace-pre-wrap pt-1 text-md leading-open text-color-text md:mb-0 md:pt-0 line-clamp-5 lg:text-lg" data-tracking-control-name="comment_text">Los algoritmos heurísticos son cruciales en la evolución de la inteligencia artificial (IA) porque proporcionan soluciones aproximadas a problemas complejos cuando los métodos exactos son impracticables. Permiten encontrar soluciones rápidas y viables, mejoran la eficiencia al reducir el espacio de búsqueda y son adaptables a diversos problemas. Además, facilitan la evolución de los modelos de IA a través de técnicas como los algoritmos genéticos, que simulan procesos de selección natural. 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class="mr-0.5 truncate text-sm font-bold text-color-text lg:text-md"> Irshad Jackaria, BCom, BCom (Hons), DInv, MSc, MCIPS, CFA </span>  </div> <p class="m-0 truncate text-sm text-color-text-low-emphasis md:text-md" data-test-id="contribution-lock-up-headline"> Artificial Intelligence Impact Assessment (AI-IA)Coach, CFA Coach, Lifetime Wealth Advisor, ESG Investment Analyst, Soft Skills Rethinker, Procurement & Supply Chain Specialist. </p> </div> </a> <div class="flex items-center">  <div class="ellipsis-menu absolute right-0 top-0 contribution-control-menu relative" data-feed-action="show-comment-dropdown" data-id="comment__ellipsis-menu" data-feed-control="control_menu" data-tracking-control-name="comment_control_menu" data-feed-action-type="expandControl" data-feed-action-category="expand"> <div class="collapsible-dropdown flex items-center relative hyphens-auto"> <button class="ellipsis-menu__trigger collapsible-dropdown__button btn-md btn-tertiary cursor-pointer !py-[6px] !px-1 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You'll no longer see this contribution</p> </template> </li>  </ul>  </div> </div> <code id="contributionCopyLink" style="display: none"></code> <code id="contributionCopyFail" style="display: none"></code> <code id="contributionCopyUnsupported" style="display: none"></code> </div> </div> <div class="contribution__container left__border -mb-2 -mt-1 animate-show ml-0 pl-0 md:ml-[-41px] md:pl-[32px] pr-0 lg:ml-[-33px] lg:pl-[40px] lg:pr-1 pt-2 pb-4"> <div class="flex flex-col justify-between lg:flex-col"> <div class="flex items-center justify-between gap-1"> </div> </div> <div class="contribution__text-wrapper relative"> <p class="contribution__text mb-1 whitespace-pre-wrap pt-1 text-md leading-open text-color-text md:mb-0 md:pt-0 line-clamp-5 lg:text-lg" data-tracking-control-name="comment_text">As problems become more sparse and complex, the solutions must follow akin. In case where classic methods underperform, we can use HA. Some examples: 1) greedy algo: in finding your nearest neighbour, find the optimal path, that will help you in achieving the overall optimal solution. 2) local search algo: start with one path & explore it neighbours to find a better solution. 3) tabu search: use my tabu list (list of previously solutionised problems) as a start and improve upon them in light of new info. 4) Search*: for my pathfindings and graph traversal algo.</p> <button class="contribution__see-more-button absolute bottom-0 right-0 hidden cursor-pointer border-0 bg-color-surface p-0 text-md leading-open text-color-text-secondary hover:text-color-action hover:underline lg:text-lg" data-tracking-control-name="comment_expand" data-feed-control="comment_expand" data-feed-action-type="expandContributionText" data-feed-action-category="EXPAND" role="button" type="button">…see more</button> </div>  <div class="contribution__social-action-bar relative right-1 flex flex-row items-center justify-start gap-1"> <div 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data-thread-urn="urn:li:articleSegment:(urn:li:linkedInArticle:7195097172504125442,7195097438494380033)" data-test-id="article-segment" data-total-count="29" data-tracking-prefix="article-ssr-frontend-x-article" role="presentation"> <div class="md:row pb-6 md:flex"> <div class="column-article-segment-content md:column md:mb-8 md:mr-4 md:w-1/2 md:flex-1 md:pr-[88px]"> <div class="md:pt-6 sticky-on-scroll"> <div class="article-segment-content-container "> <div id="content-urn_li_articleSegment__urn_li_linkedInArticle_7195097172504125442_7195097438494380033_"> <div class="article-main__content" data-test-id="publishing-text-block"> <h2 class="flex"> <a id="heuristic-types" href="#heuristic-types" class="dummy-anchor invisible absolute mt-[-100px]"></a> <span class="header-index pr-1.5">2</span> <span class>Heuristic Types</span> </h2> </div> <div class="article-main__content" data-test-id="publishing-text-block"> <p> <span class>There are various types of heuristic algorithms, each with unique approaches to problem-solving. For instance, a greedy heuristic makes the optimal choice at each step, aiming for a local maximum without considering the overall context. In contrast, a genetic algorithm mimics biological evolution, using mutation and selection to iteratively improve solutions. Another common type is the A* algorithm, which combines features of greedy heuristics and dynamic programming to find the most efficient path in a search space. Each type of heuristic plays a different role in AI's ability to tackle complex tasks.</span> </p> </div> </div> </div> </div> </div> <div class="column-article-segment-contributions md:column md:pb-[200px] md:w-1/2"> <div class="article-segment-contributions-header-container bg-color-canvas-tint md:ml-[-12px] md:pt-6 lg:ml-0 sticky-on-scroll mt-1 ">  <div class="add-your-perspective-section relative flex flex-row items-center " data-segment-urn="urn:li:articleSegment:(urn:li:linkedInArticle:7195097172504125442,7195097438494380033)" data-test-add-contribution> <code id="add_your_perspective_tracking_prefix" style="display: none"></code> <code id="isGuest" style="display: none"></code> <code id="showFuseErrorMessage" style="display: none"></code> <div class="mb-2"> <a href="https://www.linkedin.com/signup/cold-join?session_redirect=%2Fadvice%2F1%2Fwhat-role-do-heuristic-algorithms-play-71une&trk=article-ssr-frontend-x-article" target="_self" 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class="mr-0.5 truncate text-sm font-bold text-color-text lg:text-md"> Stephen Gereb </span>  </div> <p class="m-0 truncate text-sm text-color-text-low-emphasis md:text-md" data-test-id="contribution-lock-up-headline"> Head of North American Operations @ IGS | Vertical Farming | Agtech | AIoT Innovation | AI, IoT & Edge Compute | Strategy | Leadership </p> </div> </a> <div class="flex items-center">  <div class="ellipsis-menu absolute right-0 top-0 contribution-control-menu relative" data-feed-action="show-comment-dropdown" data-id="comment__ellipsis-menu" data-feed-control="control_menu" data-tracking-control-name="comment_control_menu" data-feed-action-type="expandControl" data-feed-action-category="expand"> <div class="collapsible-dropdown flex items-center relative hyphens-auto"> <button class="ellipsis-menu__trigger collapsible-dropdown__button btn-md btn-tertiary cursor-pointer !py-[6px] !px-1 flex items-center rounded-[50%] ellipsis-menu__trigger--small w-[32px] h-[32px] flex 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You'll no longer see this contribution</p> </template> </li>  </ul>  </div> </div> <code id="contributionCopyLink" style="display: none"></code> <code id="contributionCopyFail" style="display: none"></code> <code id="contributionCopyUnsupported" style="display: none"></code> </div> </div> <div class="contribution__container left__border -mb-2 -mt-1 animate-show ml-0 pl-0 md:ml-[-41px] md:pl-[32px] pr-0 lg:ml-[-33px] lg:pl-[40px] lg:pr-1 pt-2 pb-4"> <div class="flex flex-col justify-between lg:flex-col"> <div class="flex items-center justify-between gap-1"> </div> </div> <div class="contribution__text-wrapper relative"> <p class="contribution__text mb-1 whitespace-pre-wrap pt-1 text-md leading-open text-color-text md:mb-0 md:pt-0 line-clamp-5 lg:text-lg" data-tracking-control-name="comment_text">Heuristic algorithms are crucial in AI for solving complex problems efficiently. Greedy heuristics, for instance, make optimal local choices for quick, though not always perfect, solutions, useful in tasks like network routing. Genetic algorithms simulate evolution, iteratively refining solutions, as seen in optimizing logistics for companies like FedEx. The A* algorithm combines greedy search and dynamic programming to find the shortest path, famously used in GPS navigation systems. 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Greedy heuristics offer quick decisions but may miss the bigger picture, while genetic algorithms evolve solutions over time, akin to natural selection. The A* algorithm strikes a balance by seeking optimal paths with smart planning. These diverse strategies empower AI systems to adapt and excel in various challenging scenarios. 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You'll no longer see this contribution</p> </template> </li>  </ul>  </div> </div> <code id="contributionCopyLink" style="display: none"></code> <code id="contributionCopyFail" style="display: none"></code> <code id="contributionCopyUnsupported" style="display: none"></code> </div> </div> <div class="contribution__container left__border -mb-2 -mt-1 animate-show ml-0 pl-0 md:ml-[-41px] md:pl-[32px] pr-0 lg:ml-[-33px] lg:pl-[40px] lg:pr-1 pt-2 pb-4"> <div class="flex flex-col justify-between lg:flex-col"> <div class="flex items-center justify-between gap-1"> </div> </div> <div class="contribution__text-wrapper relative"> <p class="contribution__text mb-1 whitespace-pre-wrap pt-1 text-md leading-open text-color-text md:mb-0 md:pt-0 line-clamp-5 lg:text-lg" data-tracking-control-name="comment_text">There are different breeds of heuristic algorithms, each with its own ideation of problem-solving. Picture a Swiss Army knife; some tools are crafted for specific tasks, whereas others are more versatile. Greedy heuristics aspire for the nearest cherry on the tree, a local optima, without necessarily striving for the absolute best, very much in the spirit of the age-old adage, "a bird in the hand is worth two in the bush." Genetic algorithms play Darwin, evolving solutions over generations. And the A* algorithm? It's the road-trip enthusiast of AIs, finding efficient routes much as a human would by mapping out a cross-country journey using landmarks and signposts — taking the scenic route when time allows, or the highway when it doesn’t.</p> <button class="contribution__see-more-button absolute bottom-0 right-0 hidden cursor-pointer border-0 bg-color-surface p-0 text-md leading-open text-color-text-secondary hover:text-color-action hover:underline lg:text-lg" data-tracking-control-name="comment_expand" data-feed-control="comment_expand" data-feed-action-type="expandContributionText" data-feed-action-category="EXPAND" role="button" type="button">…see more</button> </div>  <div class="contribution__social-action-bar relative right-1 flex flex-row items-center justify-start gap-1"> <div class="contribution-social-activity inline-flex items-center justify-start"> <code id="i18n_reaction_selection_state" style="display: none"></code> <div class="reactions-menu flex flex-row relative items-center 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data-plural="%numReactions%" data-entity-urn="urn:li:comment:(urn:li:articleSegment:(urn:li:linkedInArticle:7195097172504125442,7195097438494380033),7196731536031772672)" tabindex="0"> <img alt data-reaction-type="LIKE" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/bn39hirwzjqj18ej1fkz55671" height="16px" width="16px"> <img alt data-reaction-type="EMPATHY" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/asiqslyf4ooq7ggllg4fyo4o2" height="16px" width="16px"> <span aria-hidden="true" class="font-normal ml-0.5" data-test-id="social-actions__reaction-count"> 11 </span> </div> <code id="social-actions__reaction-image-APPRECIATION" style="display: none"></code>  <code id="social-actions__reaction-image-EMPATHY" style="display: none"></code> <code id="social-actions__reaction-image-ENTERTAINMENT" style="display: none"></code>  <code id="social-actions__reaction-image-INTEREST" style="display: none"></code> <code id="social-actions__reaction-image-LIKE" style="display: none"></code> <code id="social-actions__reaction-image-MAYBE" style="display: none"></code> <code id="social-actions__reaction-image-PRAISE" style="display: none"></code>  </div> </div>  </div>  </div>  </li> <li class="contribution" data-contribution-urn="urn:li:comment:(urn:li:articleSegment:(urn:li:linkedInArticle:7195097172504125442,7195097438494380033),7196284448533803008)" data-contributor-urn="urn:li:member:6648848" data-contribution-tracking-id="hzHvYvDEaQXozAN9LhnnHw==" data-is-logged-in="false"> <div class="flex items-center justify-between"> <a href="https://mx.linkedin.com/in/sebastianbarros?trk=article-ssr-frontend-x-article" target="_blank" data-tracking-control-name="comment_actor" data-tracking-will-navigate class="contribution__lockup relative flex items-center overflow-hidden pr-1 font-sans hover:no-underline focus:no-underline xs:left-[-56px]"> <figure class="top-[4px] inline-flex lg:hidden"> <img class="inline-block relative rounded-[50%] w-4 h-4 bg-color-entity-ghost-background" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/9c8pery4andzj6ohjkjp54ma2" data-ghost-classes="bg-color-entity-ghost-background" data-ghost-url="https://static.licdn.com/aero-v1/sc/h/9c8pery4andzj6ohjkjp54ma2" alt="Contributor profile photo"> </figure> <figure class="top-[4px] hidden lg:inline-flex"> <img class="inline-block relative rounded-[50%] w-6 h-6 bg-color-entity-ghost-background" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/9c8pery4andzj6ohjkjp54ma2" data-ghost-classes="bg-color-entity-ghost-background" data-ghost-url="https://static.licdn.com/aero-v1/sc/h/9c8pery4andzj6ohjkjp54ma2" alt="Contributor profile photo"> </figure> <div class="min-w-0 ml-2"> <div class="flex items-center"> <span class="mr-0.5 truncate text-sm font-bold text-color-text lg:text-md"> Sebastian Barros </span>  </div> <p class="m-0 truncate text-sm text-color-text-low-emphasis md:text-md" data-test-id="contribution-lock-up-headline"> Regional Head of Enterprise Wireless Solutions | Ex-Google | Founder | Author | Doctorate Candidate </p> </div> </a> <div class="flex items-center">  <div class="ellipsis-menu absolute right-0 top-0 contribution-control-menu relative" data-feed-action="show-comment-dropdown" data-id="comment__ellipsis-menu" data-feed-control="control_menu" data-tracking-control-name="comment_control_menu" data-feed-action-type="expandControl" data-feed-action-category="expand"> <div class="collapsible-dropdown flex items-center relative hyphens-auto"> <button class="ellipsis-menu__trigger collapsible-dropdown__button btn-md btn-tertiary cursor-pointer !py-[6px] !px-1 flex items-center rounded-[50%] ellipsis-menu__trigger--small w-[32px] h-[32px] flex justify-center w-[40px] min-w-[40px]" aria-expanded="false" aria-label="Open menu" data-tracking-control-name="article-ssr-frontend-x-article_ellipsis-menu-trigger" tabindex="0"> <icon class="ellipsis-menu__trigger-icon m-0 p-0 centered-icon" 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href="/uas/login?session_redirect=https%3A%2F%2Fwww.linkedin.com%2Fadvice%2F1%2Fwhat-role-do-heuristic-algorithms-play-71une&trk=comment-semaphore-sign-in-redirect&guestReportContentType=AUTO_GENERATED_SKILL_ARTICLE_CONTRIBUTION&_f=guest-reporting" data-tracking-control-name="comment-semaphore-sign-in-redirect" data-tracking-will-navigate data-item-type="semaphore" data-semaphore-content-type="AUTO_GENERATED_SKILL_ARTICLE_CONTRIBUTION" data-semaphore-content-urn="urn:li:comment:(articleSegment:(urn:li:linkedInArticle:7195097172504125442,7195097438494380033),7196284448533803008)" data-semaphore-author-urn="urn:li:member:6648848" data-semaphore-tracking-prefix="comment-semaphore" data-is-logged-in="false" data-modal="semaphore__toggle" class="semaphore__toggle visited:text-color-text-secondary mx-0.25 flex items-center w-full py-1 px-2 cursor-pointer font-sans text-sm font-bold link-styled focus:link-styled link:no-underline active:bg-color-background-container-tint 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You'll no longer see this contribution</p> </template> </li>  </ul>  </div> </div> <code id="contributionCopyLink" style="display: none"></code> <code id="contributionCopyFail" style="display: none"></code> <code id="contributionCopyUnsupported" style="display: none"></code> </div> </div> <div class="contribution__container left__border -mb-2 -mt-1 animate-show ml-0 pl-0 md:ml-[-41px] md:pl-[32px] pr-0 lg:ml-[-33px] lg:pl-[40px] lg:pr-1 pt-2 pb-4"> <div class="flex flex-col justify-between lg:flex-col"> <div class="flex items-center justify-between gap-1"> </div> </div> <div class="contribution__text-wrapper relative"> <p class="contribution__text mb-1 whitespace-pre-wrap pt-1 text-md leading-open text-color-text md:mb-0 md:pt-0 line-clamp-5 lg:text-lg" data-tracking-control-name="comment_text">Heuristic algorithms can be categorized into several types, each tailored to solve specific problems with a balance of accuracy and computational efficiency. A notable type is the greedy heuristic, which makes a series of local optimal choices aiming for a global optimum. This approach is used effectively in problems like network routing, where each decision point selects the next path based on immediate data availability and cost, without considering the overall path. The beauty of greedy heuristics lies in their simplicity and speed, despite the risk of not always achieving the best overall solution. This approach provides a fresh perspective on solving complex problems by breaking them down into manageable, "good enough" solutions.</p> <button class="contribution__see-more-button absolute bottom-0 right-0 hidden cursor-pointer border-0 bg-color-surface p-0 text-md leading-open text-color-text-secondary hover:text-color-action hover:underline lg:text-lg" data-tracking-control-name="comment_expand" data-feed-control="comment_expand" data-feed-action-type="expandContributionText" data-feed-action-category="EXPAND" role="button" type="button">…see more</button> </div>  <div class="contribution__social-action-bar relative right-1 flex flex-row items-center justify-start gap-1"> <div class="contribution-social-activity inline-flex items-center justify-start"> <code id="i18n_reaction_selection_state" style="display: none"></code> <div class="reactions-menu flex flex-row relative items-center justify-center select-none [-webkit-user-select:none] pointer-events-auto 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data-contribution-urn="urn:li:comment:(urn:li:articleSegment:(urn:li:linkedInArticle:7195097172504125442,7195097438494380033),7196670488645922816)" data-contributor-urn="urn:li:member:472766" data-contribution-tracking-id="I6OR9/vdA3FQX0Byd4zCHg==" data-is-logged-in="false"> <div class="flex items-center justify-between"> <a href="https://br.linkedin.com/in/ewaldodelvalle?trk=article-ssr-frontend-x-article" target="_blank" data-tracking-control-name="comment_actor" data-tracking-will-navigate class="contribution__lockup relative flex items-center overflow-hidden pr-1 font-sans hover:no-underline focus:no-underline xs:left-[-56px]"> <figure class="top-[4px] inline-flex lg:hidden"> <img class="inline-block relative rounded-[50%] w-4 h-4 " data-delayed-url="https://media.licdn.com/dms/image/v2/D4D03AQH9MDSiSzSi2Q/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1721132928667?e=2147483647&v=beta&t=CXeQ_A30V0a8m63X_x0fyVYnTIfGW7QwATRHmMEPFCE" 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Executive Vice President | Executive Director | Advisory Board Member </p> </div> </a> <div class="flex items-center">  <div class="ellipsis-menu absolute right-0 top-0 contribution-control-menu relative" data-feed-action="show-comment-dropdown" data-id="comment__ellipsis-menu" data-feed-control="control_menu" data-tracking-control-name="comment_control_menu" data-feed-action-type="expandControl" data-feed-action-category="expand"> <div class="collapsible-dropdown flex items-center relative hyphens-auto"> <button class="ellipsis-menu__trigger collapsible-dropdown__button btn-md btn-tertiary cursor-pointer !py-[6px] !px-1 flex items-center rounded-[50%] ellipsis-menu__trigger--small w-[32px] h-[32px] flex justify-center w-[40px] min-w-[40px]" aria-expanded="false" aria-label="Open menu" data-tracking-control-name="article-ssr-frontend-x-article_ellipsis-menu-trigger" tabindex="0"> <icon class="ellipsis-menu__trigger-icon m-0 p-0 centered-icon" 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text-color-text lg:text-md"> Isaac Cohen 🥭 </span>  </div> <p class="m-0 truncate text-sm text-color-text-low-emphasis md:text-md" data-test-id="contribution-lock-up-headline"> Data Economist 🥭 I Make Creative Data & AI Solutions for Sales, Marketing, Data, and Operations </p> </div> </a> <div class="flex items-center">  <div class="ellipsis-menu absolute right-0 top-0 contribution-control-menu relative" data-feed-action="show-comment-dropdown" data-id="comment__ellipsis-menu" data-feed-control="control_menu" data-tracking-control-name="comment_control_menu" data-feed-action-type="expandControl" data-feed-action-category="expand"> <div class="collapsible-dropdown flex items-center relative hyphens-auto"> <button class="ellipsis-menu__trigger collapsible-dropdown__button btn-md btn-tertiary cursor-pointer !py-[6px] !px-1 flex items-center rounded-[50%] ellipsis-menu__trigger--small w-[32px] h-[32px] flex justify-center w-[40px] min-w-[40px]" aria-expanded="false" aria-label="Open menu" 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You'll no longer see this contribution</p> </template> </li>  </ul>  </div> </div> <code id="contributionCopyLink" style="display: none"></code> <code id="contributionCopyFail" style="display: none"></code> <code id="contributionCopyUnsupported" style="display: none"></code> </div> </div> <div class="contribution__container left__border -mb-2 -mt-1 animate-show ml-0 pl-0 md:ml-[-41px] md:pl-[32px] pr-0 lg:ml-[-33px] lg:pl-[40px] lg:pr-1 pt-2 pb-4"> <div class="flex flex-col justify-between lg:flex-col"> <div class="flex items-center justify-between gap-1"> </div> </div> <div class="contribution__text-wrapper relative"> <p class="contribution__text mb-1 whitespace-pre-wrap pt-1 text-md leading-open text-color-text md:mb-0 md:pt-0 line-clamp-5 lg:text-lg" data-tracking-control-name="comment_text">"AI is no magic wand, but when armed with heuristics, it's the next best thing in our techno-sorcerer's toolkit," I'd jest. Heuristic algorithms are the scouts sent out into the treacherous wilderness of data to find a passable path when the perfect path is a fairy tale. In real-time applications like routing logistics, heuristics are the quick-on-their-feet trailblazers that decide which turns might lead to dead ends and which could be shortcuts. 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</div> </div>  </div>  </div>  </li> <li class="contribution" data-contribution-urn="urn:li:comment:(urn:li:articleSegment:(urn:li:linkedInArticle:7195097172504125442,7195097438502748161),7197009765133103104)" data-contributor-urn="urn:li:member:42044107" data-contribution-tracking-id="d+FbTFkGhN6Jhh/ev4lNFw==" data-is-logged-in="false"> <div class="flex items-center justify-between"> <a href="https://uk.linkedin.com/in/nicoladecoppi?trk=article-ssr-frontend-x-article" target="_blank" data-tracking-control-name="comment_actor" data-tracking-will-navigate class="contribution__lockup relative flex items-center overflow-hidden pr-1 font-sans hover:no-underline focus:no-underline xs:left-[-56px]"> <figure class="top-[4px] inline-flex lg:hidden"> <img class="inline-block relative rounded-[50%] w-4 h-4 " data-delayed-url="https://media.licdn.com/dms/image/v2/D4D03AQEdqyZJKBI7gA/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1729167780499?e=2147483647&v=beta&t=C7K_a2FKkbM8Sf3I0no1-B0gPdmlIAD8NUt5kTNutvs" data-ghost-classes="bg-color-entity-ghost-background" data-ghost-url="https://static.licdn.com/aero-v1/sc/h/9c8pery4andzj6ohjkjp54ma2" alt="Contributor profile photo"> </figure> <figure class="top-[4px] hidden lg:inline-flex"> <img class="inline-block relative rounded-[50%] w-6 h-6 " data-delayed-url="https://media.licdn.com/dms/image/v2/D4D03AQEdqyZJKBI7gA/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1729167780499?e=2147483647&v=beta&t=C7K_a2FKkbM8Sf3I0no1-B0gPdmlIAD8NUt5kTNutvs" data-ghost-classes="bg-color-entity-ghost-background" data-ghost-url="https://static.licdn.com/aero-v1/sc/h/9c8pery4andzj6ohjkjp54ma2" alt="Contributor profile photo"> </figure> <div class="min-w-0 ml-2"> <div class="flex items-center"> <span class="mr-0.5 truncate text-sm font-bold text-color-text lg:text-md"> Nicola De Coppi </span>  </div> <p class="m-0 truncate text-sm text-color-text-low-emphasis md:text-md" data-test-id="contribution-lock-up-headline"> AI changes everything 🤯| Fractional Chief AI Officer | become an AI-first Company like Klarna NOW without firing people in 3 steps: AI Strategy, AI-First Workforce and AI Agents🤖 | Ex AP at IBM, Salesforce,Accenture🚀 </p> </div> </a> <div class="flex items-center">  <div class="ellipsis-menu absolute right-0 top-0 contribution-control-menu relative" data-feed-action="show-comment-dropdown" data-id="comment__ellipsis-menu" data-feed-control="control_menu" data-tracking-control-name="comment_control_menu" data-feed-action-type="expandControl" data-feed-action-category="expand"> <div class="collapsible-dropdown flex items-center relative hyphens-auto"> <button class="ellipsis-menu__trigger collapsible-dropdown__button btn-md btn-tertiary cursor-pointer !py-[6px] !px-1 flex 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</button> </li> <li class="ellipsis-menu__item flex" data-feed-action="semaphoreComment" data-feed-control="comment_control_menu_report" data-tracking-control-name="comment_control_menu_report" data-feed-action-type="expandContributionReporting" data-feed-action-category="expand" data-test-id="contribution-control-menu-report"> <a href="/uas/login?session_redirect=https%3A%2F%2Fwww.linkedin.com%2Fadvice%2F1%2Fwhat-role-do-heuristic-algorithms-play-71une&trk=comment-semaphore-sign-in-redirect&guestReportContentType=AUTO_GENERATED_SKILL_ARTICLE_CONTRIBUTION&_f=guest-reporting" data-tracking-control-name="comment-semaphore-sign-in-redirect" data-tracking-will-navigate data-item-type="semaphore" data-semaphore-content-type="AUTO_GENERATED_SKILL_ARTICLE_CONTRIBUTION" data-semaphore-content-urn="urn:li:comment:(articleSegment:(urn:li:linkedInArticle:7195097172504125442,7195097438502748161),7197009765133103104)" data-semaphore-author-urn="urn:li:member:42044107" data-semaphore-tracking-prefix="comment-semaphore" data-is-logged-in="false" data-modal="semaphore__toggle" class="semaphore__toggle visited:text-color-text-secondary mx-0.25 flex items-center w-full py-1 px-2 cursor-pointer font-sans text-sm font-bold link-styled focus:link-styled link:no-underline active:bg-color-background-container-tint hover:bg-color-background-container-tint " role="menuitem">  <icon data-svg-class-name=" ellipsis-menu__item-icon text-color-icon h-[20px] w-[auto] mr-1 flex " data-delayed-url="https://static.licdn.com/aero-v1/sc/h/eo60762wicg7snl6mo020acft"></icon> <span class=" ellipsis-menu__item-text inline-block text-color-text font-semibold ">Report contribution</span> </a>  <template id="comment-reported-card-template"> <p class="comment-reported-card bg-color-background-container p-2 text-sm font-medium text-color-text-secondary"> Thanks for letting us know! You'll no longer see this contribution</p> </template> </li>  </ul>  </div> </div> <code id="contributionCopyLink" style="display: none"></code> <code id="contributionCopyFail" style="display: none"></code> <code id="contributionCopyUnsupported" style="display: none"></code> </div> </div> <div class="contribution__container left__border -mb-2 -mt-1 animate-show ml-0 pl-0 md:ml-[-41px] md:pl-[32px] pr-0 lg:ml-[-33px] lg:pl-[40px] lg:pr-1 pt-2 pb-4"> <div class="flex flex-col justify-between lg:flex-col"> <div class="flex items-center justify-between gap-1"> </div> </div> <div class="contribution__text-wrapper relative"> <p class="contribution__text mb-1 whitespace-pre-wrap pt-1 text-md leading-open text-color-text md:mb-0 md:pt-0 line-clamp-5 lg:text-lg" data-tracking-control-name="comment_text">One of my favourite quotes is "Intelligence is the ability to adapt to change" by Stephen Hawking. Likewise, in simpler words, heuristic algorithms are like the quick-thinking, street-smart part of artificial intelligence. They help AI solve tough problems by finding good enough solutions fast, rather than getting stuck trying to be perfect. It is like when we are trying to find the best route home in a busy city, instead of checking every single path, heuristics help AI zero in on the most promising ones quickly. So this makes AI more efficient and capable of making smart decisions on the fly, just like we do in our everyday lives. Hope this helps!</p> <button class="contribution__see-more-button absolute bottom-0 right-0 hidden cursor-pointer border-0 bg-color-surface p-0 text-md leading-open text-color-text-secondary hover:text-color-action hover:underline lg:text-lg" data-tracking-control-name="comment_expand" data-feed-control="comment_expand" data-feed-action-type="expandContributionText" data-feed-action-category="EXPAND" role="button" type="button">…see more</button> </div>  <div class="contribution__social-action-bar relative right-1 flex flex-row items-center justify-start gap-1"> <div class="contribution-social-activity inline-flex items-center justify-start"> <code id="i18n_reaction_selection_state" style="display: none"></code> <div class="reactions-menu flex flex-row relative items-center justify-center select-none [-webkit-user-select:none] pointer-events-auto contribution-social-activity__reactions-menu " 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href="/uas/login?session_redirect=https%3A%2F%2Fwww.linkedin.com%2Fadvice%2F1%2Fwhat-role-do-heuristic-algorithms-play-71une&trk=comment-semaphore-sign-in-redirect&guestReportContentType=AUTO_GENERATED_SKILL_ARTICLE_CONTRIBUTION&_f=guest-reporting" data-tracking-control-name="comment-semaphore-sign-in-redirect" data-tracking-will-navigate data-item-type="semaphore" data-semaphore-content-type="AUTO_GENERATED_SKILL_ARTICLE_CONTRIBUTION" data-semaphore-content-urn="urn:li:comment:(articleSegment:(urn:li:linkedInArticle:7195097172504125442,7195097438502748161),7196624573625163776)" data-semaphore-author-urn="urn:li:member:7380412" data-semaphore-tracking-prefix="comment-semaphore" data-is-logged-in="false" data-modal="semaphore__toggle" class="semaphore__toggle visited:text-color-text-secondary mx-0.25 flex items-center w-full py-1 px-2 cursor-pointer font-sans text-sm font-bold link-styled focus:link-styled link:no-underline active:bg-color-background-container-tint 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You'll no longer see this contribution</p> </template> </li>  </ul>  </div> </div> <code id="contributionCopyLink" style="display: none"></code> <code id="contributionCopyFail" style="display: none"></code> <code id="contributionCopyUnsupported" style="display: none"></code> </div> </div> <div class="contribution__container left__border -mb-2 -mt-1 animate-show ml-0 pl-0 md:ml-[-41px] md:pl-[32px] pr-0 lg:ml-[-33px] lg:pl-[40px] lg:pr-1 pt-2 pb-4"> <div class="flex flex-col justify-between lg:flex-col"> <div class="flex items-center justify-between gap-1"> </div> </div> <div class="contribution__text-wrapper relative"> <p class="contribution__text mb-1 whitespace-pre-wrap pt-1 text-md leading-open text-color-text md:mb-0 md:pt-0 line-clamp-5 lg:text-lg" data-tracking-control-name="comment_text">Heuristic algorithms are pivotal in AI for solving complex problems efficiently. By narrowing the search space, heuristics find good enough solutions quickly. For instance, in route planning, algorithms like A* prioritize promising paths without evaluating every possible route, significantly saving time. This method allows AI to make rapid decisions, crucial in dynamic environments such as ride-sharing services. For example, Uber's routing system uses heuristics to optimize driver routes and match passengers swiftly, ensuring efficient and timely rides. 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class="mr-0.5 truncate text-sm font-bold text-color-text lg:text-md"> Ewaldo Del Valle </span>  </div> <p class="m-0 truncate text-sm text-color-text-low-emphasis md:text-md" data-test-id="contribution-lock-up-headline"> AI Evangelist | Executive Vice President | Executive Director | Advisory Board Member </p> </div> </a> <div class="flex items-center">  <div class="ellipsis-menu absolute right-0 top-0 contribution-control-menu relative" data-feed-action="show-comment-dropdown" data-id="comment__ellipsis-menu" data-feed-control="control_menu" data-tracking-control-name="comment_control_menu" data-feed-action-type="expandControl" data-feed-action-category="expand"> <div class="collapsible-dropdown flex items-center relative hyphens-auto"> <button class="ellipsis-menu__trigger collapsible-dropdown__button btn-md btn-tertiary cursor-pointer !py-[6px] !px-1 flex items-center rounded-[50%] ellipsis-menu__trigger--small w-[32px] h-[32px] flex justify-center w-[40px] min-w-[40px]" 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You'll no longer see this contribution</p> </template> </li>  </ul>  </div> </div> <code id="contributionCopyLink" style="display: none"></code> <code id="contributionCopyFail" style="display: none"></code> <code id="contributionCopyUnsupported" style="display: none"></code> </div> </div> <div class="contribution__container left__border -mb-2 -mt-1 animate-show ml-0 pl-0 md:ml-[-41px] md:pl-[32px] pr-0 lg:ml-[-33px] lg:pl-[40px] lg:pr-1 pt-2 pb-4"> <div class="flex flex-col justify-between lg:flex-col"> <div class="flex items-center justify-between gap-1"> </div> </div> <div class="contribution__text-wrapper relative"> <p class="contribution__text mb-1 whitespace-pre-wrap pt-1 text-md leading-open text-color-text md:mb-0 md:pt-0 line-clamp-5 lg:text-lg" data-tracking-control-name="comment_text">Heuristic algorithms are integral to AI because they provide practical methods for solving complex problems. These algorithms use rules of thumb, educated guesses, and intuitive judgments to find solutions that may not be perfect but are sufficient given the constraints of time and computational resources. In AI, heuristic algorithms can be applied to optimize search processes, improve decision-making in uncertain environments, and solve problems where traditional methods are too slow or infeasible. 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They do not guarantee the best solution; instead, they aim for a "good enough" answer that can be found quickly. This can lead to suboptimal results or oversight of better solutions. Moreover, heuristics are often tailored to specific problems and may not generalize well across different domains. 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You'll no longer see this contribution</p> </template> </li>  </ul>  </div> </div> <code id="contributionCopyLink" style="display: none"></code> <code id="contributionCopyFail" style="display: none"></code> <code id="contributionCopyUnsupported" style="display: none"></code> </div> </div> <div class="contribution__container left__border -mb-2 -mt-1 animate-show ml-0 pl-0 md:ml-[-41px] md:pl-[32px] pr-0 lg:ml-[-33px] lg:pl-[40px] lg:pr-1 pt-2 pb-4"> <div class="flex flex-col justify-between lg:flex-col"> <div class="flex items-center justify-between gap-1"> </div> </div> <div class="contribution__text-wrapper relative"> <p class="contribution__text mb-1 whitespace-pre-wrap pt-1 text-md leading-open text-color-text md:mb-0 md:pt-0 line-clamp-5 lg:text-lg" data-tracking-control-name="comment_text">"Perfection is the enemy of the good," Voltaire would have surely preached in the context of AI, had he been a programmer and not a philosopher. Heuristic algorithms are not the golden ticket to Willy Wonka's factory of flawless solutions; they're more of a backdoor pass - not perfect, but often good enough. Custom tailoring these algorithms to spot-on problem-solving is the work of bespoke craftsmanship in a ready-to-wear world: it's an art and a science. As the world evolves, crafting heuristics that are adaptable yet effective is akin to writing a bestseller that's both a critical darling and a crowd-pleaser.</p> <button class="contribution__see-more-button absolute bottom-0 right-0 hidden cursor-pointer border-0 bg-color-surface p-0 text-md leading-open text-color-text-secondary hover:text-color-action hover:underline lg:text-lg" data-tracking-control-name="comment_expand" data-feed-control="comment_expand" data-feed-action-type="expandContributionText" data-feed-action-category="EXPAND" role="button" type="button">…see more</button> </div>  <div class="contribution__social-action-bar relative right-1 flex flex-row items-center justify-start gap-1"> <div class="contribution-social-activity inline-flex items-center justify-start"> <code id="i18n_reaction_selection_state" style="display: none"></code> <div class="reactions-menu flex flex-row relative items-center justify-center select-none [-webkit-user-select:none] pointer-events-auto 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</div> </div>  </div>  </div>  </li> <li class="contribution" data-contribution-urn="urn:li:comment:(urn:li:articleSegment:(urn:li:linkedInArticle:7195097172504125442,7195097438506942464),7196624940786147329)" data-contributor-urn="urn:li:member:7380412" data-contribution-tracking-id="G8NJ1VmyoCHRT8UQowP3Eg==" data-is-logged-in="false"> <div class="flex items-center justify-between"> <a href="https://www.linkedin.com/in/stevegereb?trk=article-ssr-frontend-x-article" target="_blank" data-tracking-control-name="comment_actor" data-tracking-will-navigate class="contribution__lockup relative flex items-center overflow-hidden pr-1 font-sans hover:no-underline focus:no-underline xs:left-[-56px]"> <figure class="top-[4px] inline-flex lg:hidden"> <img class="inline-block relative rounded-[50%] w-4 h-4 " 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class="mr-0.5 truncate text-sm font-bold text-color-text lg:text-md"> Stephen Gereb </span>  </div> <p class="m-0 truncate text-sm text-color-text-low-emphasis md:text-md" data-test-id="contribution-lock-up-headline"> Head of North American Operations @ IGS | Vertical Farming | Agtech | AIoT Innovation | AI, IoT & Edge Compute | Strategy | Leadership </p> </div> </a> <div class="flex items-center">  <div class="ellipsis-menu absolute right-0 top-0 contribution-control-menu relative" data-feed-action="show-comment-dropdown" data-id="comment__ellipsis-menu" data-feed-control="control_menu" data-tracking-control-name="comment_control_menu" data-feed-action-type="expandControl" data-feed-action-category="expand"> <div class="collapsible-dropdown flex items-center relative hyphens-auto"> <button class="ellipsis-menu__trigger collapsible-dropdown__button btn-md btn-tertiary cursor-pointer !py-[6px] !px-1 flex items-center rounded-[50%] ellipsis-menu__trigger--small w-[32px] h-[32px] flex 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data-tracking-control-name="comment_control_menu_report" data-feed-action-type="expandContributionReporting" data-feed-action-category="expand" data-test-id="contribution-control-menu-report"> <a href="/uas/login?session_redirect=https%3A%2F%2Fwww.linkedin.com%2Fadvice%2F1%2Fwhat-role-do-heuristic-algorithms-play-71une&trk=comment-semaphore-sign-in-redirect&guestReportContentType=AUTO_GENERATED_SKILL_ARTICLE_CONTRIBUTION&_f=guest-reporting" data-tracking-control-name="comment-semaphore-sign-in-redirect" data-tracking-will-navigate data-item-type="semaphore" data-semaphore-content-type="AUTO_GENERATED_SKILL_ARTICLE_CONTRIBUTION" data-semaphore-content-urn="urn:li:comment:(articleSegment:(urn:li:linkedInArticle:7195097172504125442,7195097438506942464),7196624940786147329)" data-semaphore-author-urn="urn:li:member:7380412" data-semaphore-tracking-prefix="comment-semaphore" data-is-logged-in="false" data-modal="semaphore__toggle" class="semaphore__toggle visited:text-color-text-secondary 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You'll no longer see this contribution</p> </template> </li>  </ul>  </div> </div> <code id="contributionCopyLink" style="display: none"></code> <code id="contributionCopyFail" style="display: none"></code> <code id="contributionCopyUnsupported" style="display: none"></code> </div> </div> <div class="contribution__container left__border -mb-2 -mt-1 animate-show ml-0 pl-0 md:ml-[-41px] md:pl-[32px] pr-0 lg:ml-[-33px] lg:pl-[40px] lg:pr-1 pt-2 pb-4"> <div class="flex flex-col justify-between lg:flex-col"> <div class="flex items-center justify-between gap-1"> </div> </div> <div class="contribution__text-wrapper relative"> <p class="contribution__text mb-1 whitespace-pre-wrap pt-1 text-md leading-open text-color-text md:mb-0 md:pt-0 line-clamp-5 lg:text-lg" data-tracking-control-name="comment_text">Heuristic algorithms, while powerful, have notable limitations. They prioritize speed over perfection, often yielding "good enough" solutions rather than optimal ones. This can result in suboptimal outcomes or missed opportunities for better solutions. Moreover, heuristics are typically problem-specific and may not adapt well across different domains. For instance, in game development, heuristics like those used in NPC pathfinding can struggle with unpredictable player behavior, leading to less dynamic gameplay. 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This hybridization can enhance the generalizability and robustness of AI systems, ensuring they remain versatile across diverse problem domains.</p> <button class="contribution__see-more-button absolute bottom-0 right-0 hidden cursor-pointer border-0 bg-color-surface p-0 text-md leading-open text-color-text-secondary hover:text-color-action hover:underline lg:text-lg" data-tracking-control-name="comment_expand" data-feed-control="comment_expand" data-feed-action-type="expandContributionText" data-feed-action-category="EXPAND" role="button" type="button">…see more</button> </div>  <div class="contribution__social-action-bar relative right-1 flex flex-row items-center justify-start gap-1"> <div class="contribution-social-activity inline-flex items-center justify-start"> <code id="i18n_reaction_selection_state" style="display: none"></code> <div class="reactions-menu flex flex-row relative items-center justify-center select-none [-webkit-user-select:none] pointer-events-auto 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Executive Vice President | Executive Director | Advisory Board Member </p> </div> </a> <div class="flex items-center">  <div class="ellipsis-menu absolute right-0 top-0 contribution-control-menu relative" data-feed-action="show-comment-dropdown" data-id="comment__ellipsis-menu" data-feed-control="control_menu" data-tracking-control-name="comment_control_menu" data-feed-action-type="expandControl" data-feed-action-category="expand"> <div class="collapsible-dropdown flex items-center relative hyphens-auto"> <button class="ellipsis-menu__trigger collapsible-dropdown__button btn-md btn-tertiary cursor-pointer !py-[6px] !px-1 flex items-center rounded-[50%] ellipsis-menu__trigger--small w-[32px] h-[32px] flex justify-center w-[40px] min-w-[40px]" aria-expanded="false" aria-label="Open menu" data-tracking-control-name="article-ssr-frontend-x-article_ellipsis-menu-trigger" tabindex="0"> <icon class="ellipsis-menu__trigger-icon m-0 p-0 centered-icon" 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AI systems often face challenges like computational complexity, incomplete data, and real-time processing requirements. Heuristics can offer approximate solutions that are computationally feasible and timely, making AI systems more robust and adaptable. 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ellipsis-menu__item-text inline-block text-color-text font-semibold ">Report contribution</span> </a>  <template id="comment-reported-card-template"> <p class="comment-reported-card bg-color-background-container p-2 text-sm font-medium text-color-text-secondary"> Thanks for letting us know! You'll no longer see this contribution</p> </template> </li>  </ul>  </div> </div> <code id="contributionCopyLink" style="display: none"></code> <code id="contributionCopyFail" style="display: none"></code> <code id="contributionCopyUnsupported" style="display: none"></code> </div> </div> <div class="contribution__container left__border -mb-2 -mt-1 animate-show ml-0 pl-0 md:ml-[-41px] md:pl-[32px] pr-0 lg:ml-[-33px] lg:pl-[40px] lg:pr-1 pt-2 pb-4"> <div class="flex flex-col justify-between lg:flex-col"> <div class="flex items-center justify-between gap-1"> </div> </div> <div class="contribution__text-wrapper relative"> <p class="contribution__text mb-1 whitespace-pre-wrap pt-1 text-md leading-open text-color-text md:mb-0 md:pt-0 line-clamp-5 lg:text-lg" data-tracking-control-name="comment_text">Heuristic algorithms trade optimality for efficiency, providing a "good enough" solution swiftly. However, they lack guarantees of the best solution due to their reliance on rules of thumb rather than exhaustive search. This can lead to suboptimal outcomes in complex problems. Additionally, their performance may vary based on problem characteristics, and they can get stuck in local optima. 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They are becoming more sophisticated, integrating with other AI techniques like machine learning to create hybrid systems that learn and adapt over time. The development of meta-heuristics, which are higher-level strategies for creating new heuristics, is another exciting frontier. 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Like a chess grandmaster learning new openings, these algorithms are set to marry classic heuristics with emerging machine learning techniques to form an alliance of old and new. In the realm of meta-heuristics, it's like AI is getting its own version of the Jedi Council—a gathering of wise strategies from which newer, more potent heuristics can be forged. The philosopher Seneca's words ring true here: "Luck is what happens when preparation meets opportunity." 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data-contribution-urn="urn:li:comment:(urn:li:articleSegment:(urn:li:linkedInArticle:7195097172504125442,7195097438511054850),7196369632725733376)" data-contributor-urn="urn:li:member:11757678" data-contribution-tracking-id="iVGjOPDeg6P4VIWw10Txsg==" data-is-logged-in="false"> <div class="flex items-center justify-between"> <a href="https://in.linkedin.com/in/anupam-anand-266b303?trk=article-ssr-frontend-x-article" target="_blank" data-tracking-control-name="comment_actor" data-tracking-will-navigate class="contribution__lockup relative flex items-center overflow-hidden pr-1 font-sans hover:no-underline focus:no-underline xs:left-[-56px]"> <figure class="top-[4px] inline-flex lg:hidden"> <img class="inline-block relative rounded-[50%] w-4 h-4 bg-color-entity-ghost-background" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/9c8pery4andzj6ohjkjp54ma2" data-ghost-classes="bg-color-entity-ghost-background" data-ghost-url="https://static.licdn.com/aero-v1/sc/h/9c8pery4andzj6ohjkjp54ma2" alt="Contributor profile photo"> </figure> <figure class="top-[4px] hidden lg:inline-flex"> <img class="inline-block relative rounded-[50%] w-6 h-6 bg-color-entity-ghost-background" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/9c8pery4andzj6ohjkjp54ma2" data-ghost-classes="bg-color-entity-ghost-background" data-ghost-url="https://static.licdn.com/aero-v1/sc/h/9c8pery4andzj6ohjkjp54ma2" alt="Contributor profile photo"> </figure> <div class="min-w-0 ml-2"> <div class="flex items-center"> <span class="mr-0.5 truncate text-sm font-bold text-color-text lg:text-md"> Anupam Anand </span>  </div> <p class="m-0 truncate text-sm text-color-text-low-emphasis md:text-md" data-test-id="contribution-lock-up-headline"> Innovating AI @Apptad | Ex NTTDATA, Dell , Perot System , Covansys | Digital Transformation Leader (IIM Lucknow) | Automation Leader |Analytics| Operations </p> </div> </a> <div class="flex 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ellipsis-menu__item-text inline-block text-color-text font-semibold ">Report contribution</span> </a>  <template id="comment-reported-card-template"> <p class="comment-reported-card bg-color-background-container p-2 text-sm font-medium text-color-text-secondary"> Thanks for letting us know! You'll no longer see this contribution</p> </template> </li>  </ul>  </div> </div> <code id="contributionCopyLink" style="display: none"></code> <code id="contributionCopyFail" style="display: none"></code> <code id="contributionCopyUnsupported" style="display: none"></code> </div> </div> <div class="contribution__container left__border -mb-2 -mt-1 animate-show ml-0 pl-0 md:ml-[-41px] md:pl-[32px] pr-0 lg:ml-[-33px] lg:pl-[40px] lg:pr-1 pt-2 pb-4"> <div class="flex flex-col justify-between lg:flex-col"> <div class="flex items-center justify-between gap-1"> </div> </div> <div class="contribution__text-wrapper relative"> <p class="contribution__text mb-1 whitespace-pre-wrap pt-1 text-md leading-open text-color-text md:mb-0 md:pt-0 line-clamp-5 lg:text-lg" data-tracking-control-name="comment_text">In the future, heuristic algorithms will likely continue to play a vital role in AI and problem-solving domains. However, their evolution will likely focus on enhancing their efficiency, scalability, and adaptability. With advances in computing power and algorithmic techniques, we may see heuristic algorithms being applied to more complex and large-scale problems across various domains such as healthcare, finance, and transportation. Additionally, there might be increased integration of heuristic methods with other AI techniques like machine learning and deep learning to leverage the strengths of each approach.</p> <button class="contribution__see-more-button absolute bottom-0 right-0 hidden cursor-pointer border-0 bg-color-surface p-0 text-md leading-open text-color-text-secondary hover:text-color-action hover:underline lg:text-lg" data-tracking-control-name="comment_expand" data-feed-control="comment_expand" data-feed-action-type="expandContributionText" data-feed-action-category="EXPAND" role="button" type="button">…see more</button> </div>  <div class="contribution__social-action-bar relative right-1 flex flex-row items-center justify-start gap-1"> <div class="contribution-social-activity inline-flex items-center justify-start"> <code id="i18n_reaction_selection_state" style="display: none"></code> <div class="reactions-menu flex flex-row relative items-center justify-center select-none 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 </div>  </div>  </li> <li class="contribution" data-contribution-urn="urn:li:comment:(urn:li:articleSegment:(urn:li:linkedInArticle:7195097172504125442,7195097438511054850),7196625251689017344)" data-contributor-urn="urn:li:member:7380412" data-contribution-tracking-id="UrG4gSF/ILKGox88KbwoLw==" data-is-logged-in="false"> <div class="flex items-center justify-between"> <a href="https://www.linkedin.com/in/stevegereb?trk=article-ssr-frontend-x-article" target="_blank" data-tracking-control-name="comment_actor" data-tracking-will-navigate class="contribution__lockup relative flex items-center overflow-hidden pr-1 font-sans hover:no-underline focus:no-underline xs:left-[-56px]"> <figure class="top-[4px] inline-flex lg:hidden"> <img class="inline-block relative rounded-[50%] w-4 h-4 " 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class="mr-0.5 truncate text-sm font-bold text-color-text lg:text-md"> Stephen Gereb </span>  </div> <p class="m-0 truncate text-sm text-color-text-low-emphasis md:text-md" data-test-id="contribution-lock-up-headline"> Head of North American Operations @ IGS | Vertical Farming | Agtech | AIoT Innovation | AI, IoT & Edge Compute | Strategy | Leadership </p> </div> </a> <div class="flex items-center">  <div class="ellipsis-menu absolute right-0 top-0 contribution-control-menu relative" data-feed-action="show-comment-dropdown" data-id="comment__ellipsis-menu" data-feed-control="control_menu" data-tracking-control-name="comment_control_menu" data-feed-action-type="expandControl" data-feed-action-category="expand"> <div class="collapsible-dropdown flex items-center relative hyphens-auto"> <button class="ellipsis-menu__trigger collapsible-dropdown__button btn-md btn-tertiary cursor-pointer !py-[6px] !px-1 flex items-center rounded-[50%] ellipsis-menu__trigger--small w-[32px] h-[32px] flex 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You'll no longer see this contribution</p> </template> </li>  </ul>  </div> </div> <code id="contributionCopyLink" style="display: none"></code> <code id="contributionCopyFail" style="display: none"></code> <code id="contributionCopyUnsupported" style="display: none"></code> </div> </div> <div class="contribution__container left__border -mb-2 -mt-1 animate-show ml-0 pl-0 md:ml-[-41px] md:pl-[32px] pr-0 lg:ml-[-33px] lg:pl-[40px] lg:pr-1 pt-2 pb-4"> <div class="flex flex-col justify-between lg:flex-col"> <div class="flex items-center justify-between gap-1"> </div> </div> <div class="contribution__text-wrapper relative"> <p class="contribution__text mb-1 whitespace-pre-wrap pt-1 text-md leading-open text-color-text md:mb-0 md:pt-0 line-clamp-5 lg:text-lg" data-tracking-control-name="comment_text">Heuristic algorithms are set to play an even more pivotal role as AI evolves. By integrating with machine learning, they form hybrid systems that adapt and improve over time. The rise of meta-heuristics, which develop new heuristics dynamically, marks a significant advance. For example, Google's AlphaGo uses a combination of heuristics and deep learning to master the complex game of Go, demonstrating the potential of such integrations. These advancements promise AI that is faster, more efficient, and better equipped to handle uncertainty and complexity, closely mimicking human cognitive processes and opening new frontiers in AI applications.</p> <button class="contribution__see-more-button absolute bottom-0 right-0 hidden cursor-pointer border-0 bg-color-surface p-0 text-md leading-open text-color-text-secondary hover:text-color-action hover:underline lg:text-lg" data-tracking-control-name="comment_expand" data-feed-control="comment_expand" data-feed-action-type="expandContributionText" data-feed-action-category="EXPAND" role="button" type="button">…see more</button> </div>  <div class="contribution__social-action-bar relative right-1 flex flex-row items-center justify-start gap-1"> <div class="contribution-social-activity inline-flex items-center justify-start"> <code id="i18n_reaction_selection_state" style="display: none"></code> <div class="reactions-menu flex flex-row relative items-center justify-center 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class="mr-0.5 truncate text-sm font-bold text-color-text lg:text-md"> Ewaldo Del Valle </span>  </div> <p class="m-0 truncate text-sm text-color-text-low-emphasis md:text-md" data-test-id="contribution-lock-up-headline"> AI Evangelist | Executive Vice President | Executive Director | Advisory Board Member </p> </div> </a> <div class="flex items-center">  <div class="ellipsis-menu absolute right-0 top-0 contribution-control-menu relative" data-feed-action="show-comment-dropdown" data-id="comment__ellipsis-menu" data-feed-control="control_menu" data-tracking-control-name="comment_control_menu" data-feed-action-type="expandControl" data-feed-action-category="expand"> <div class="collapsible-dropdown flex items-center relative hyphens-auto"> <button class="ellipsis-menu__trigger collapsible-dropdown__button btn-md btn-tertiary cursor-pointer !py-[6px] !px-1 flex items-center rounded-[50%] ellipsis-menu__trigger--small w-[32px] h-[32px] flex justify-center w-[40px] min-w-[40px]" 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data-tracking-control-name="comment_control_menu_report" data-feed-action-type="expandContributionReporting" data-feed-action-category="expand" data-test-id="contribution-control-menu-report"> <a href="/uas/login?session_redirect=https%3A%2F%2Fwww.linkedin.com%2Fadvice%2F1%2Fwhat-role-do-heuristic-algorithms-play-71une&trk=comment-semaphore-sign-in-redirect&guestReportContentType=AUTO_GENERATED_SKILL_ARTICLE_CONTRIBUTION&_f=guest-reporting" data-tracking-control-name="comment-semaphore-sign-in-redirect" data-tracking-will-navigate data-item-type="semaphore" data-semaphore-content-type="AUTO_GENERATED_SKILL_ARTICLE_CONTRIBUTION" data-semaphore-content-urn="urn:li:comment:(articleSegment:(urn:li:linkedInArticle:7195097172504125442,7195097438511054850),7196671152692301826)" data-semaphore-author-urn="urn:li:member:472766" data-semaphore-tracking-prefix="comment-semaphore" data-is-logged-in="false" data-modal="semaphore__toggle" class="semaphore__toggle visited:text-color-text-secondary 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You'll no longer see this contribution</p> </template> </li>  </ul>  </div> </div> <code id="contributionCopyLink" style="display: none"></code> <code id="contributionCopyFail" style="display: none"></code> <code id="contributionCopyUnsupported" style="display: none"></code> </div> </div> <div class="contribution__container left__border -mb-2 -mt-1 animate-show ml-0 pl-0 md:ml-[-41px] md:pl-[32px] pr-0 lg:ml-[-33px] lg:pl-[40px] lg:pr-1 pt-2 pb-4"> <div class="flex flex-col justify-between lg:flex-col"> <div class="flex items-center justify-between gap-1"> </div> </div> <div class="contribution__text-wrapper relative"> <p class="contribution__text mb-1 whitespace-pre-wrap pt-1 text-md leading-open text-color-text md:mb-0 md:pt-0 line-clamp-5 lg:text-lg" data-tracking-control-name="comment_text">Heuristic algorithms will continue to play a significant role in the future evolution of AI. As AI systems become more advanced, integrating heuristics with other AI approaches, such as deep learning and reinforcement learning, can lead to more powerful and versatile systems. Exploring new heuristic techniques and combining them with state-of-the-art AI methods can push the boundaries of what AI can achieve. Future research may focus on developing hybrid models that use heuristics to guide learning algorithms, improving efficiency and performance in solving complex problems.</p> <button class="contribution__see-more-button absolute bottom-0 right-0 hidden cursor-pointer border-0 bg-color-surface p-0 text-md leading-open text-color-text-secondary hover:text-color-action hover:underline lg:text-lg" data-tracking-control-name="comment_expand" data-feed-control="comment_expand" data-feed-action-type="expandContributionText" data-feed-action-category="EXPAND" role="button" type="button">…see more</button> </div>  <div class="contribution__social-action-bar relative right-1 flex flex-row items-center justify-start gap-1"> <div class="contribution-social-activity inline-flex items-center justify-start"> <code id="i18n_reaction_selection_state" style="display: none"></code> <div class="reactions-menu flex flex-row relative items-center justify-center select-none [-webkit-user-select:none] 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The problems with these algorithms include: - Random Nature: They produce different results each time they are run. - Lack of Optimality Guarantee: There's no assurance that the solution found is the optimal one. - Slow Convergence: They typically take a long time to converge. 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You'll no longer see this contribution</p> </template> </li>  </ul>  </div> </div> <code id="contributionCopyLink" style="display: none"></code> <code id="contributionCopyFail" style="display: none"></code> <code id="contributionCopyUnsupported" style="display: none"></code> </div> </div> <div class="contribution__container left__border -mb-2 -mt-1 animate-show ml-0 pl-0 md:ml-[-41px] md:pl-[32px] pr-0 lg:ml-[-33px] lg:pl-[40px] lg:pr-1 pt-2 pb-4"> <div class="flex flex-col justify-between lg:flex-col"> <div class="flex items-center justify-between gap-1"> </div> </div> <div class="contribution__text-wrapper relative"> <p class="contribution__text mb-1 whitespace-pre-wrap pt-1 text-md leading-open text-color-text md:mb-0 md:pt-0 line-clamp-5 lg:text-lg" data-tracking-control-name="comment_text">From my poont of view Heuristic algorithms play a critical role in AI by facilitating swift decision-making. They offer guiding principles that enhance the efficiency and adaptability of AI systems. These algorithms are utilized in various AI applications for expediting computations, identifying patterns in complex data sets, leveraging past experiences to improve future performance, and effectively managing resources while balancing precision and efficiency. In domains such as heuristic search and machine learning, they help establish parameters and steer searches towards goals more efficiently, ultimately enabling the development of intelligent, adaptable systems.</p> <button class="contribution__see-more-button absolute bottom-0 right-0 hidden cursor-pointer border-0 bg-color-surface p-0 text-md leading-open text-color-text-secondary hover:text-color-action hover:underline lg:text-lg" data-tracking-control-name="comment_expand" data-feed-control="comment_expand" data-feed-action-type="expandContributionText" data-feed-action-category="EXPAND" role="button" type="button">…see more</button> </div>  <div class="contribution__social-action-bar relative right-1 flex flex-row items-center justify-start gap-1"> <div class="contribution-social-activity inline-flex items-center justify-start"> <code id="i18n_reaction_selection_state" style="display: none"></code> <div class="reactions-menu flex flex-row relative items-center justify-center 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class="mr-0.5 truncate text-sm font-bold text-color-text lg:text-md"> Ewaldo Del Valle </span>  </div> <p class="m-0 truncate text-sm text-color-text-low-emphasis md:text-md" data-test-id="contribution-lock-up-headline"> AI Evangelist | Executive Vice President | Executive Director | Advisory Board Member </p> </div> </a> <div class="flex items-center">  <div class="ellipsis-menu absolute right-0 top-0 contribution-control-menu relative" data-feed-action="show-comment-dropdown" data-id="comment__ellipsis-menu" data-feed-control="control_menu" data-tracking-control-name="comment_control_menu" data-feed-action-type="expandControl" data-feed-action-category="expand"> <div class="collapsible-dropdown flex items-center relative hyphens-auto"> <button class="ellipsis-menu__trigger collapsible-dropdown__button btn-md btn-tertiary cursor-pointer !py-[6px] !px-1 flex items-center rounded-[50%] ellipsis-menu__trigger--small w-[32px] h-[32px] flex justify-center w-[40px] min-w-[40px]" 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You'll no longer see this contribution</p> </template> </li>  </ul>  </div> </div> <code id="contributionCopyLink" style="display: none"></code> <code id="contributionCopyFail" style="display: none"></code> <code id="contributionCopyUnsupported" style="display: none"></code> </div> </div> <div class="contribution__container left__border -mb-2 -mt-1 animate-show ml-0 pl-0 md:ml-[-41px] md:pl-[32px] pr-0 lg:ml-[-33px] lg:pl-[40px] lg:pr-1 pt-2 pb-4"> <div class="flex flex-col justify-between lg:flex-col"> <div class="flex items-center justify-between gap-1"> </div> </div> <div class="contribution__text-wrapper relative"> <p class="contribution__text mb-1 whitespace-pre-wrap pt-1 text-md leading-open text-color-text md:mb-0 md:pt-0 line-clamp-5 lg:text-lg" data-tracking-control-name="comment_text">Other considerations include the ethical implications of using heuristic algorithms, their transparency, and the ease of implementation. Ensuring that heuristic methods are transparent and interpretable can help build trust in AI systems. Additionally, developing heuristics that are easy to implement and understand can facilitate their adoption across various AI applications. Researchers should also consider the trade-offs between the accuracy and computational efficiency of heuristics to ensure they meet the specific needs of different AI tasks.</p> <button class="contribution__see-more-button absolute bottom-0 right-0 hidden cursor-pointer border-0 bg-color-surface p-0 text-md leading-open text-color-text-secondary hover:text-color-action hover:underline lg:text-lg" data-tracking-control-name="comment_expand" data-feed-control="comment_expand" data-feed-action-type="expandContributionText" data-feed-action-category="EXPAND" role="button" type="button">…see more</button> </div>  <div class="contribution__social-action-bar relative right-1 flex flex-row items-center justify-start gap-1"> <div class="contribution-social-activity inline-flex items-center justify-start"> <code id="i18n_reaction_selection_state" style="display: none"></code> <div class="reactions-menu flex flex-row relative items-center justify-center select-none [-webkit-user-select:none] 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data-contribution-urn="urn:li:comment:(urn:li:articleSegment:(urn:li:linkedInArticle:7195097172504125442,7195097438519521280),7196417216181948417)" data-contributor-urn="urn:li:member:558080512" data-contribution-tracking-id="vHkuq840uErZ+cZlGm0w4A==" data-is-logged-in="false"> <div class="flex items-center justify-between"> <a href="https://uk.linkedin.com/in/samsconsultant?trk=article-ssr-frontend-x-article" target="_blank" data-tracking-control-name="comment_actor" data-tracking-will-navigate class="contribution__lockup relative flex items-center overflow-hidden pr-1 font-sans hover:no-underline focus:no-underline xs:left-[-56px]"> <figure class="top-[4px] inline-flex lg:hidden"> <img class="inline-block relative rounded-[50%] w-4 h-4 bg-color-entity-ghost-background" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/9c8pery4andzj6ohjkjp54ma2" data-ghost-classes="bg-color-entity-ghost-background" data-ghost-url="https://static.licdn.com/aero-v1/sc/h/9c8pery4andzj6ohjkjp54ma2" alt="Contributor profile photo"> </figure> <figure class="top-[4px] hidden lg:inline-flex"> <img class="inline-block relative rounded-[50%] w-6 h-6 bg-color-entity-ghost-background" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/9c8pery4andzj6ohjkjp54ma2" data-ghost-classes="bg-color-entity-ghost-background" data-ghost-url="https://static.licdn.com/aero-v1/sc/h/9c8pery4andzj6ohjkjp54ma2" alt="Contributor profile photo"> </figure> <div class="min-w-0 ml-2"> <div class="flex items-center"> <span class="mr-0.5 truncate text-sm font-bold text-color-text lg:text-md"> Sam S. </span>  </div> <p class="m-0 truncate text-sm text-color-text-low-emphasis md:text-md" data-test-id="contribution-lock-up-headline"> Chief Innovation Officer | Supporting Financial firms align Strategy, Sales, Marketing & Operations for Growth through Innovation & AI | Business Growth Expert | Coach | Author & Speaker | AI & Digital Transformation </p> </div> </a> <div class="flex items-center">  <div class="ellipsis-menu absolute right-0 top-0 contribution-control-menu relative" data-feed-action="show-comment-dropdown" data-id="comment__ellipsis-menu" data-feed-control="control_menu" data-tracking-control-name="comment_control_menu" data-feed-action-type="expandControl" data-feed-action-category="expand"> <div class="collapsible-dropdown flex items-center relative hyphens-auto"> <button class="ellipsis-menu__trigger collapsible-dropdown__button btn-md btn-tertiary cursor-pointer !py-[6px] !px-1 flex items-center rounded-[50%] ellipsis-menu__trigger--small w-[32px] h-[32px] flex justify-center w-[40px] min-w-[40px]" aria-expanded="false" aria-label="Open menu" data-tracking-control-name="article-ssr-frontend-x-article_ellipsis-menu-trigger" tabindex="0"> <icon class="ellipsis-menu__trigger-icon m-0 p-0 centered-icon" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/c26vw8uiog92lvrqov98hvbxr"></icon> </button> <ul class="collapsible-dropdown__list hidden container-raised 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ellipsis-menu__item-text inline-block text-color-text font-semibold ">Report contribution</span> </a>  <template id="comment-reported-card-template"> <p class="comment-reported-card bg-color-background-container p-2 text-sm font-medium text-color-text-secondary"> Thanks for letting us know! You'll no longer see this contribution</p> </template> </li>  </ul>  </div> </div> <code id="contributionCopyLink" style="display: none"></code> <code id="contributionCopyFail" style="display: none"></code> <code id="contributionCopyUnsupported" style="display: none"></code> </div> </div> <div class="contribution__container left__border -mb-2 -mt-1 animate-show ml-0 pl-0 md:ml-[-41px] md:pl-[32px] pr-0 lg:ml-[-33px] lg:pl-[40px] lg:pr-1 pt-2 pb-4"> <div class="flex flex-col justify-between lg:flex-col"> <div class="flex items-center justify-between gap-1"> </div> </div> <div class="contribution__text-wrapper relative"> <p class="contribution__text mb-1 whitespace-pre-wrap pt-1 text-md leading-open text-color-text md:mb-0 md:pt-0 line-clamp-5 lg:text-lg" data-tracking-control-name="comment_text">Heuristic algorithms have been instrumental in advancing AI by providing efficient solutions to complex problems where traditional methods fall short. As AI continues to evolve, integrating heuristics with machine learning models can lead to more adaptive and intelligent systems. Future trends may see the rise of hybrid algorithms that combine the strengths of heuristics and deep learning, enabling AI to tackle even more sophisticated tasks with greater accuracy and efficiency.</p> <button class="contribution__see-more-button absolute bottom-0 right-0 hidden cursor-pointer border-0 bg-color-surface p-0 text-md leading-open text-color-text-secondary hover:text-color-action hover:underline lg:text-lg" data-tracking-control-name="comment_expand" data-feed-control="comment_expand" data-feed-action-type="expandContributionText" data-feed-action-category="EXPAND" role="button" type="button">…see more</button> </div>  <div class="contribution__social-action-bar relative right-1 flex flex-row items-center justify-start gap-1"> <div class="contribution-social-activity inline-flex items-center justify-start"> <code id="i18n_reaction_selection_state" style="display: none"></code> <div class="reactions-menu flex flex-row relative items-center justify-center select-none 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data-entity-urn="urn:li:comment:(urn:li:articleSegment:(urn:li:linkedInArticle:7195097172504125442,7195097438519521280),7196417216181948417)" tabindex="0"> <img alt data-reaction-type="LIKE" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/bn39hirwzjqj18ej1fkz55671" height="16px" width="16px"> <span aria-hidden="true" class="font-normal ml-0.5" data-test-id="social-actions__reaction-count"> 2 </span> </div> <code id="social-actions__reaction-image-APPRECIATION" style="display: none"></code>  <code id="social-actions__reaction-image-EMPATHY" style="display: none"></code> <code id="social-actions__reaction-image-ENTERTAINMENT" style="display: none"></code>  <code id="social-actions__reaction-image-INTEREST" style="display: none"></code> <code id="social-actions__reaction-image-LIKE" style="display: none"></code> <code id="social-actions__reaction-image-MAYBE" style="display: none"></code> <code id="social-actions__reaction-image-PRAISE" style="display: none"></code>  </div> </div>  </div>  </div>  </li> <li class="contribution" data-contribution-urn="urn:li:comment:(urn:li:articleSegment:(urn:li:linkedInArticle:7195097172504125442,7195097438519521280),7196839419541180416)" data-contributor-urn="urn:li:member:13098244" data-contribution-tracking-id="IXtdDiwGKijeAf2ZQwEOJQ==" data-is-logged-in="false"> <div class="flex items-center justify-between"> <a href="https://www.linkedin.com/in/brianlkeith?trk=article-ssr-frontend-x-article" target="_blank" data-tracking-control-name="comment_actor" data-tracking-will-navigate class="contribution__lockup relative flex items-center overflow-hidden pr-1 font-sans hover:no-underline focus:no-underline xs:left-[-56px]"> <figure class="top-[4px] inline-flex lg:hidden"> <img class="inline-block relative rounded-[50%] w-4 h-4 " 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class="mr-0.5 truncate text-sm font-bold text-color-text lg:text-md"> Brian L. 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class="social-share__button-icon " data-delayed-url="https://static.licdn.com/aero-v1/sc/h/852gyy4s01pfis5qf9k99s6d2" data-svg-class-name="social-share-button-icon social-action-bar__icon--svg "></icon> <span class="social-share__button-text-square social-action-bar__button-text "> Share </span> </button> </div> </div> <code id="i18n_reaction_singular" style="display: none"></code> <code id="i18n_reactions_plural" style="display: none"></code> <div class="flex items-center font-sans text-sm babybear:text-xs" data-sap-comment-urn="urn:li:ugcPost:7195097436971749377"> <div class="flex items-center font-normal text-color-text-low-emphasis no-underline visited:text-color-text-low-emphasis my-1" role="button" aria-label="11 Reactions" data-test-id="social-actions__reactions" data-id="social-actions__reactions" data-num-reactions="11" data-singular="%numReactions%" data-plural="%numReactions%" data-entity-urn="urn:li:ugcPost:7195097436971749377" tabindex="0"> <img alt data-reaction-type="LIKE" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/bn39hirwzjqj18ej1fkz55671" height="16px" width="16px"> <img alt data-reaction-type="PRAISE" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/2tzoeodxy0zug4455msr0oq0v" height="16px" width="16px"> <span aria-hidden="true" class="font-normal ml-0.5" data-test-id="social-actions__reaction-count"> 11 </span> </div> <code id="social-actions__reaction-image-APPRECIATION" style="display: none"></code>  <code id="social-actions__reaction-image-EMPATHY" style="display: none"></code> <code id="social-actions__reaction-image-ENTERTAINMENT" style="display: none"></code>  <code id="social-actions__reaction-image-INTEREST" style="display: none"></code> <code id="social-actions__reaction-image-LIKE" style="display: none"></code> <code id="social-actions__reaction-image-MAYBE" style="display: none"></code> <code id="social-actions__reaction-image-PRAISE" style="display: none"></code>  <div class="flex items-center font-normal text-color-text-low-emphasis no-underline visited:text-color-text-low-emphasis before:middot my-1" data-test-id="social-actions__comments" data-id="social-actions__comments" data-num-comments="156" data-singular="%numComments% Contribution" data-plural="%numComments% Contributions" data-entity-urn="urn:li:ugcPost:7195097436971749377"> 156 Contributions </div>  </div> </div> </div>  <code id="contentUrn" style="display: none"></code> <div id="toasts" class="toasts fixed z-8 babybear:right-4 mamabear:right-4 papabear:min-h-[96px] invisible top:auto bottom-4 left-4 papabear:w-[400px] toasts--bottom" type="bottom"> <template id="toast-template"> <div class="toast container-raised flex toast--bottom transition ease-accelerate duration-xxslow " data-id="toast"> <div class="toast__message flex flex-1 babybear:items-center mamabear:items-center papabear:items-start py-2 px-1.5" data-id="toast__message" role="alert" tabindex="-1"> <div class="toast__message-content-container" data-id="toast__message-content-container"> <p class="toast__message-content font-sans text-sm opacity-90 inline babybear:self-center mamabear:self-center papabear:self-start" data-id="toast__message-content"></p> </div> </div> <button class="toast__dismiss-btn cursor-pointer babybear:self-center mamabear:self-center papabear:self-start pt-3 pb-2 papabear:py-2 pl-0.5 pr-0" data-id="toast__dismiss-btn" aria-label="Close"> <svg width="24" height="24" class="fill-color-icon"><path d="M13 4.32 9.31 8 13 11.69 11.69 13 8 9.31 4.31 13 3 11.69 6.69 8 3 4.31 4.31 3 8 6.69 11.68 3Z"></path></svg> </button> </div> </template> <template id="toast-icon-caution"> <icon class="text-color-icon-caution toast__icon w-3 h-3 shrink-0 mr-2" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/bk9xca6x9l1fga1tbzame3i3l"></icon> </template> <template id="toast-icon-error"> <icon class="text-color-icon-negative toast__icon w-3 h-3 shrink-0 mr-2" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/8c0098stai8lcqypn95r47dew"></icon> </template> <template id="toast-icon-gdpr"> <icon class="text-color-icon-neutral toast__icon w-3 h-3 shrink-0 mr-2" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/a9phzx7id2abubo45lgookfd"></icon> </template> <template id="toast-icon-notify"> <icon class="text-color-icon-neutral toast__icon w-3 h-3 shrink-0 mr-2" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/4xg53nt8deu1y7tb1t3km8tfh"></icon> </template> <template id="toast-icon-success"> <icon class="text-color-icon-positive toast__icon w-3 h-3 shrink-0 mr-2" data-delayed-url="https://static.licdn.com/aero-v1/sc/h/9zhm3eh2dq7vh2muo8xnfikxh"></icon> </template> <template id="toast-cta"> <a class="toast__cta cta-link font-medium ml-0.5 text-sm text-inherit inline" target="_blank"></a> </template> </div> </div> <script src="https://static.licdn.com/aero-v1/sc/h/as3vk6nnjupk6jksi4ubjd0y1" async></script>  <script 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