ALA 2016 : Adaptive Learning Agents

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method="get" action="/cfp/servlet/event.copycfp"> <input name="getaddress" type="hidden" value="event.showcfp"> <input name="eventid" type="hidden" value="50083"> <input name="copyownerid" type="hidden" value="173490"> <input name="option" type="hidden" value="x"> <input type="submit" value="Add to My List"> </form> </td> <td align="center" nowrap="nowrap"> <form method="get" action="/cfp/servlet/event.orgcfp"> <input align="middle" type="submit" value="I'm Organizer" DISABLED> </form> </td> <td align="center" nowrap="nowrap"> <form method="get" action="/cfp/servlet/event.updcfp"> <input align="middle" type="submit" value="Modify" DISABLED> </form> </td> </tr></table> </td> </tr></table> </td></tr> <tr><td align="center" > <br> <h2> <span xmlns:v="http://rdf.data-vocabulary.org/#" typeof="v:Event"> <span property="v:summary" content="ALA 2016"></span> <span property="v:eventType" content="Conference"></span> <span property="v:startDate" content="2016-05-09T00:00:00"></span> <span property="v:endDate" content="2016-05-10T23:59:59"></span> <span resource="http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=50083" rel="v:url"></span> <span rel="v:location"><span typeof="v:Address"><span property="v:locality" content="Singapore"></span></span></span> <span property="v:description"> ALA 2016 : Adaptive Learning Agents</span> </span> </h2> <h3> <span id="share-buttons"> <a href="http://www.facebook.com/sharer.php?u=http://wikicfp.com/cfp/servlet/event.showcfp?eventid=50083&copyownerid=173490" target="_blank"><img src="/cfp/images/share/facebook.png" alt="Facebook"/></a><a href="http://twitter.com/share?url=http://wikicfp.com/cfp/servlet/event.showcfp?eventid=50083&copyownerid=173490&text=ALA 2016 : Adaptive Learning Agents" target="_blank"><img src="/cfp/images/share/twitter.png" alt="Twitter" /></a><a href="http://www.linkedin.com/shareArticle?mini=true&url=http://wikicfp.com/cfp/servlet/event.showcfp?eventid=50083&copyownerid=173490" target="_blank"><img src="/cfp/images/share/linkedin.png" alt="LinkedIn" /></a><a href="https://plus.google.com/share?url=http://wikicfp.com/cfp/servlet/event.showcfp?eventid=50083&copyownerid=173490" target="_blank"><img src="/cfp/images/share/google.png" alt="Google" /></a></span> </h3> <br>Conference Series : <a href='/cfp/program?id=133&s=ALA&f=Adaptive and Learning Agents'>Adaptive and Learning Agents</a><br>  </td></tr> <tr><td align="center" > Link: <a href="http://ala2016.csc.liv.ac.uk/" target="_newtab">http://ala2016.csc.liv.ac.uk/</a> </td></tr> <tr><td> </td></tr> <tr><td> <table cellpadding="0" cellspacing="5" align="center"> <tr valign="middle"> <td align="center"> <table cellpadding="0" cellspacing="0" align="center"> <tr valign="middle"><td align="center"> <table class="gglu" cellpadding="3" cellspacing="1" align="center"> <tr bgcolor="#e6e6e6"> <th>When</th> <td align="center"> May 9, 2016 - May 10, 2016 </td> </tr><tr bgcolor="#f6f6f6"> <th>Where</th> <td align="center">Singapore</td> </tr> <tr bgcolor="#e6e6e6"> <th>Submission Deadline</th> <td align="center"> <span xmlns:v="http://rdf.data-vocabulary.org/#" typeof="v:Event"> <span property="v:summary" content="Submission Deadline"></span> <span resource="http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=50083" rel="v:url"></span> <span property="v:startDate" content="2016-02-01T00:00:00">Feb 1, 2016</span> </span> </td> </tr> <tr bgcolor="#f6f6f6"> <th>Notification Due</th> <td align="center"> <span xmlns:v="http://rdf.data-vocabulary.org/#" typeof="v:Event"> <span property="v:summary" content="Notification Due"></span> <span resource="http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=50083" rel="v:url"></span> <span property="v:startDate" content="2016-03-07T00:00:00">Mar 7, 2016</span> </span> </td> </tr> <tr bgcolor="#e6e6e6"> <th>Final Version Due</th> <td align="center"> <span xmlns:v="http://rdf.data-vocabulary.org/#" typeof="v:Event"> <span property="v:summary" content="Final Version Due"></span> <span resource="http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=50083" rel="v:url"></span> <span property="v:startDate" content="2016-03-18T00:00:00">Mar 18, 2016</span> </span> </td> </tr> </table> </td></tr> <tr><td align="center" > <table class="gglu" cellpadding="3" cellspacing="1" align="center"> <tr><td></td></tr> <tr bgcolor="#f6f6f6"> <td align="center"> <h5><a class="blackbold" href="/cfp/allcat"><b>Categories</b></a>    <a href="../call?conference=artificial intelligence">artificial intelligence</a>   <a href="../call?conference=machine learning">machine learning</a>   <a href="../call?conference=agents">agents</a>   <a href="../call?conference=reinforcement learning">reinforcement learning</a></h5> </td></tr> </table> </td></tr> </table> </td> </tr> </table> </td></tr> <tr><td> </td></tr> <tr><td align="center" > <div xmlns:dc="http://purl.org/dc/elements/1.1/"> <span property="dc:title" content="ALA 2016"></span> <span property="dc:description" content="Adaptive Learning Agents"></span> <span property="dc:identifier" content="http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=50083"></span> <span property="dc:source" content="http://ala2016.csc.liv.ac.uk/"></span> <span property="dc:publisher" content="WikiCFP"></span> </div> <h3>Call For Papers</h3> </td></tr> <tr><td align="center" > <div class="cfp" align="left"> Paper deadline: FEBRUARY 1, 2016 <br> <br>******************************************************* <br>* AAMAS workshop with a long and successful history, now in its eighth edition. <br>* Open to original research papers, work-in-progress, and visionary outlook papers. <br>* ACM proceedings format up to 8 pages for original research and up to 6 pages for work-in-progress and outlook papers (shorter papers are also welcome and will not be judged differently). <br>* Accepted papers are eligible for inclusion in a special issue journal. <br> <br>******************************************************* <br>1st Call for Papers <br>ALA 2016: Adaptive and Learning Agents Workshop held at AAMAS 2016 (Singapore). The ALA workshop has a long and successful history and is now in its eighth edition. The workshop is a merger of European ALAMAS and the American ALAg series, which is usually held at AAMAS. Details may be found on the workshop web site: http://ala2016.csc.liv.ac.uk <br> <br>******************************************************* <br>* Submission Deadline: February 1, 2016 <br>* Notification of acceptance: March 7, 2016 <br>* Camera-ready copies: March 10, 2016 <br>* Workshop: May 9/10, 2016 <br> <br>******************************************************* <br>Adaptive and Learning Agents, particularly those in a multi-agent setting are becoming more and more prominent as the sheer size and complexity of many real world systems grows. How to adaptively control, coordinate and optimize such systems is an emerging multi-disciplinary research area at the intersection of Computer Science, Control theory, Economics, and Biology. The ALA workshop will focus on agent and multi-agent systems which employ learning or adaptation. <br> <br>The goal of this workshop is to increase awareness and interest in adaptive agent research, encourage collaboration and give a representative overview of current research in the area of adaptive and learning agents and multi-agent systems. It aims at bringing together not only scientists from different areas of computer science but also from different fields studying similar concepts (e.g., game theory, bio-inspired control, mechanism design). <br> <br>This workshop will focus on all aspects of adaptive and learning agents and multi-agent systems with a particular emphasis on how to modify established learning techniques and/or create new learning paradigms to address the many challenges presented by complex real-world problems. <br>The topics of interest include but are not limited to: <br> <br> * Novel combinations of reinforcement and supervised learning approaches <br> * Integrated learning approaches that work with other agent reasoning modules like negotiation, trust models, coordination, etc. <br> * Supervised multi-agent learning <br> * Reinforcement learning (single and multi-agent) <br> * Planning (single and multi-agent) <br> * Reasoning (single and multi-agent) <br> * Distributed learning <br> * Adaptation and learning in dynamic environments <br> * Evolution of agents in complex environments <br> * Co-evolution of agents in a multi-agent setting <br> * Cooperative exploration and learning to cooperate and collaborate <br> * Learning to cooperate and collaborate <br> * Learning trust and reputation <br> * Communication restrictions and their impact on multi-agent coordination <br> * Design of reward structure and fitness measures for coordination <br> * Scaling learning techniques to large systems of learning and adaptive agents <br> * Emergent behaviour in adaptive multi-agent systems <br> * Game theoretical analysis of adaptive multi-agent systems <br> * Neuro-control in multi-agent systems <br> * Bio-inspired multi-agent systems <br> * Applications of adaptive and learning agents and multi-agent systems to real world complex systems <br> <br>******************************************************* <br>SUBMISSION DETAILS <br> <br>Papers can be submitted through EasyChair: http://easychair.org/conferences/?conf=ala-2016 <br> <br>We invite submission of original work, up to 8 pages in length in the ACM proceedings format (i.e. following the AAMAS formatting instructions). This includes work that has been accepted as poster only at AAMAS 2016. Additionally, we welcome submission of preliminary results, i.e. work-in-progress, as well as visionary outlook papers that lay out directions for future research in a specific area, both up to 6 pages in length, although shorter papers are very much welcome, and will not be judged differently. <br> <br>All submissions will be peer-reviewed (single-blind). The most "visionary paper" will be published by Springer in a book under the Lecture Notes in Artificial Intelligence (LNAI) - Hot Topics series. The book will be a compilation of the most visionary papers of the AAMAS-2016 Workshops, where one paper will be selected from each AAMAS-2016 workshop. Additionally, the "best paper" will be published by Springer in a book under the Communications in Computer and Information Science (CCIS) series. The book will be a compilation of the best papers of the AAMAS-2016 Workshops, where one paper will be selected from each AAMAS-2016 workshop. Authors of the selected most visionary paper and the best paper are expected to provide their latex files promptly upon request. <br> <br>Accepted work will be allocated time for oral presentation during the workshop. Papers accepted at the workshop will also be eligible for inclusion in a special issue published after the workshop. </div> </td></tr> </table> </center> </div> <div class="contsec"> <center><h3> Related Resources </h3></center> <div class="cfp" align="left"> <table cellpadding="0" cellspacing="0px" align="center" width="100%"> <tr valign="top"> <td> <table cellpadding="4" cellspacing="3" align="center" width="100%"> <tr><td> <a href="/cfp/servlet/event.showcfp?eventid=182029">AAMAS - 2025</a>   The 24th International Conference on Autonomous Agents and Multiagent Systems </td></tr> <tr><td> <a href="/cfp/servlet/event.showcfp?eventid=127474">IEEE-Ei/Scopus-ITCC 2025</a>   2025 5th International Conference on Information Technology and Cloud Computing (ITCC 2025)-EI Compendex </td></tr> <tr><td> <a href="/cfp/servlet/event.showcfp?eventid=181127">ICAART 2025</a>   17th International Conference on Agents and Artificial Intelligence </td></tr> <tr><td> <a href="/cfp/servlet/event.showcfp?eventid=127472">SPIE-Ei/Scopus-DMNLP 2025</a>   2025 2nd International Conference on Data Mining and Natural Language Processing (DMNLP 2025)-EI Compendex&Scopus </td></tr> <tr><td> <a href="/cfp/servlet/event.showcfp?eventid=151976">ICSTTE 2025</a>   2025 3rd International Conference on SmartRail, Traffic and Transportation Engineering (ICSTTE 2025) </td></tr> <tr><td> <a href="/cfp/servlet/event.showcfp?eventid=180065">AMLDS 2025</a>   IEEE--2025 International Conference on Advanced Machine Learning and Data Science </td></tr> <tr><td> <a href="/cfp/servlet/event.showcfp?eventid=180092">ACDSA 2025</a>   2nd International Conference on Artificial Intelligence, Computer, Data Sciences and Applications </td></tr> <tr><td> <a href="/cfp/servlet/event.showcfp?eventid=175829">IEEE CNCIT 2025</a>   2025 4th International Conference on Networks, Communications and Information Technology (CNCIT 2025) </td></tr> <tr><td> <a href="/cfp/servlet/event.showcfp?eventid=171907">IEEE-Ei/Scopus-CNIOT 2025</a>   2025 IEEE 6th International Conference on Computing, Networks and Internet of Things (CNIOT 2025) -EI Compendex </td></tr> <tr><td> <a href="/cfp/servlet/event.showcfp?eventid=182530">CVAI 2026</a>   2026 International Symposium on Computer Vision and Artificial Intelligence (CVAI 2026) </td></tr> </table> </td> </tr> </table> </div> </center> </div> <DIV class="footer"> <center> <table cellpadding="0" cellspacing="0" width="100%"><tr valign="top"> <td align="left"> <table cellpadding="0"> <tr><td align="left"> <a href="/cfp/about.jsp">About Us</a> | <a href="mailto:wikicfp@gmail.com">Contact Us</a> | <a href="/cfp/data.jsp">Data</a> | <a href="/cfp/privacy.jsp">Privacy Policy</a> | <a href="/cfp/terms.jsp">Terms and Conditions</a> </td></tr> <tr><td align="left"> Partners: <a href="https://www.semanticscholar.org/?utm_source=WikiCFP&utm_medium=Display&utm_term=home&utm_content=semantic-scholar-rail-try-it&utm_campaign=WikiCFP%20Test">AI2's Semantic Scholar</a> </td></tr> <tr><td align="left"> This wiki is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-sa/3.0/">Creative Commons Attribution-Share Alike 3.0 License</a>. </td></tr></table> </td> <td align="right" style="width:1%">   </td> </tr></table> </center> </div> <script type="text/javascript"> function loadAddThis() { addthis.init() } loadAddThis(); </script>  <script type="text/javascript"> _qoptions={ qacct:"p-bavkT9R1uB7qI" }; </script> <script type="text/javascript" src="http://edge.quantserve.com/quant.js"></script> <noscript> <img src="http://pixel.quantserve.com/pixel/p-bavkT9R1uB7qI.gif" style="display: none;" border="0" height="1" width="1" alt="Quantcast"/> </noscript>  </body> </html>

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ALA 2016 : Adaptive Learning Agents