{"title":"Using Information Theory to Observe Natural Intelligence and Artificial Intelligence","authors":"Lipeng Zhang, Limei Li, Yanming Pearl Zhang","volume":113,"journal":"International Journal of Information and Communication Engineering","pagesStart":925,"pagesEnd":929,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10004555","abstract":"This paper takes a philosophical view as axiom, and<br \/>\r\nreveals the relationship between information theory and Natural<br \/>\r\nIntelligence and Artificial Intelligence under real world conditions.<br \/>\r\nThis paper also derives the relationship between natural intelligence<br \/>\r\nand nature. According to communication principle of information<br \/>\r\ntheory, Natural Intelligence can be divided into real part and virtual<br \/>\r\npart. Based on information theory principle that Information does not<br \/>\r\nincrease, the restriction mechanism of Natural Intelligence creativity is<br \/>\r\nconducted. The restriction mechanism of creativity reveals the limit of<br \/>\r\nnatural intelligence and artificial intelligence. The paper provides a<br \/>\r\nnew angle to observe natural intelligence and artificial intelligence.","references":"[1] Shannon, Claude E. (July\u2013October 1948). \"A Mathematical Theory of\r\nCommunication\". Bell System Technical Journal 27 (3): 379\u2013423.\r\n[2] Borda, Monica (2011). Fundamentals in Information Theory and Coding.\r\nSpringer. p. 11. ISBN 978-3-642-20346-6.\r\n[3] Han, Te Sun & Kobayashi, Kingo (2002). Mathematics of Information\r\nand Coding. American Mathematical Society. pp. 19\u201320. ISBN\r\n978-0-8218-4256-0.\r\n[4] Schneider, T.D, Information theory primer with an appendix on\r\nlogarithms, National Cancer Institute, 14 April 2007.\r\n[5] Carter, Tom (March 2014). An introduction to information theory and\r\nentropy (PDF). Santa Fe. Retrieved Aug 2014.Young, \u201cSynthetic\r\nstructure of industrial plastics (Book style with paper title and editor),\u201d in\r\nPlastics, 2nd ed. vol. 3, J. Peters, Ed. New York: McGraw-Hill, 1964, pp.\r\n15\u201364.\r\n[6] Tian BaoYu edited Zhou JiongPan and Wu WeiLing review\r\n<Engineering Information Theory> Beijing University of Posts and\r\nTelecommunications Press\r\n[7] Turing, Alan (October 1950), \"Computing Machinery and Intelligence\",\r\nMind LIX (236): 433\u2013460, doi:10.1093\/mind\/LIX.236.433, ISSN\r\n0026-4423, retrieved 2008-08-18.\r\n[8] Poole, David; Mackworth, Alan; Goebel, Randy (1998). Computational\r\nIntelligence: A Logical Approach. New York: Oxford University Press.\r\nISBN 0-19-510270-3.\r\n[9] Russell, Stuart J.; Norvig, Peter (2003), Artificial Intelligence Artificial\r\nIntelligence: A Modern Approach (2nd ed.), Upper Saddle River, New\r\nJersey: Prentice Hall, ISBN 0-13-790395-2.\r\n[10] McCarthy, John; Minsky, Marvin; Rochester, Nathan; Shannon, Claude\r\n(1955). \"A Proposal for the Dartmouth Summer Research Project on\r\nArtificial Intelligence Artificial Intelligence\". Archived from the original\r\non 26 August 2007. Retrieved 30 August 2007\\\r\n[11] Loehlin, J. C.; Perloff, R.; Sternberg, R. J.; Urbina, S. (1996).\r\n\"Intelligence: Knowns and unknowns\". American Psychologist 51 (2):\r\n77. doi:10.1037\/0003-\r\n[12] Maich, Aloysius (1995). \"A Hobbes Dictionary\". Blackwell. p. 305\r\n[13] Nidditch, Peter. \"Foreword\". An Essay Concerning Human\r\nUnderstanding. Oxford University Press. p. xxii\r\n[14] Gottfredson, Linda S. (1997). \"Mainstream Science on Intelligence.\r\nIntelligence 24: 13\u201323. doi:10.1016\/s0160-2896(97)90011-8. ISSN\r\n0160-2896.\r\n[15] Neisser, Ulrich; Boodoo, Gwyneth; Bouchard, Thomas J.; Boykin, A.\r\nWade; Brody, Nathan; Ceci, Stephen J.; Halpern, Diane F.; Loehlin, John\r\nC.; Perloff, Robert; Sternberg, Robert J.; Urbina, Susana (1996).\r\n\"Intelligence: Knowns and unknowns\". American Psychologist 51:\r\n77\u2013101. ISSN 0003-066X. Retrieved9 October 2014.\r\n[16] Legg, Shane and Hutter, Marcus (2006) A Formal Measure of Machine\r\nIntelligence. Technical Report. UNSPECIFIED. Proceedings of the 16th\r\nAnnual Machine Learning Conference of Belgium and The Netherlands,\r\nBelelearn (2006)","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 113, 2016"}