{"title":"Representing Collective Unconsciousness Using Neural Networks","authors":"Pierre Abou-Haila, Richard Hall, Mark Dawes","volume":5,"journal":"International Journal of Computer and Information Engineering","pagesStart":1501,"pagesEnd":1506,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/2286","abstract":"
Instead of representing individual cognition only, population cognition is represented using artificial neural networks whilst maintaining individuality. This population network trains continuously, simulating adaptation. An implementation of two coexisting populations is compared to the Lotka-Volterra model of predator-prey interaction. Applications include multi-agent systems such as artificial life or computer games.<\/p>\r\n","references":"[1] J. R. B.Muller, \"Neural Networks: An Introduction 2nd Edition,\"\r\npp. 2-12, 1990.\r\n[2] H. B. D. Martin T. Hagan, Mark H. Beale, Neural Network Design,\r\nPaperback ed: Martin Hagan, 2002.\r\n[3] R. Rogers, \"Object-Oriented Neural Networks in C++,\" pp. 133-\r\n171, 1997.\r\n[4] C. G. Jung, \"The Archetypes and the Collective Unconscious,\"\r\nCollected Works of C.G. Jung, vol. 9, pp. 87-110, 1980.\r\n[5] B. MacLennan, \"Evolutionary Neurotheology and the Varieties of\r\nReligious Experience,\" in NeuroTheology: Brain, Science,\r\nSpirituality, Religious Experience: University Press, California,\r\n2002.\r\n[6] R. Sun, \"Individual Action and Collective Function: from\r\nSociology to Muli-Agent Learning,\" Cognitive Systems Research,\r\nvol. 2, 2001.\r\n[7] M. P. a. W. Mende, \"The Predator-Prey Model, Do We Live in a\r\nVolterra World?,\" pp. 3-15, 1986.\r\n[8] Y. Takeuchi, Global Dynamical Properties of Lotka-Volterra\r\nSystems: World Scientific Publishing Company, 1996.\r\n[9] D. H. Z. Guillermo Abramson, \"Statistics of extinction and\r\nsurvival in Lotka-Volterra systems,\" 1998.\r\n[10] P. J. Morin, Community Ecology: Blackwell Publishers, 1999.\r\n[11] J. H. E. R. M. Sibly, T. H. Clutton-Brock (Editor), Wildlife\r\nPopulation Growth Rates: Cambridge University Press, 2003.\r\n[12] M. Wooldridge and N. Jennings, \"Intelligent Agents: Theory and\r\nPractice,\" Knowledge Engineering Review, vol. 10, pp. 115-152,\r\n1995.\r\n[13] R. Brooks, \"A robust layered control system for a mobile robot,\"\r\nIEEE Journal of Robotics and Automation, vol. RA-2, pp. 14-23,\r\n1986.\r\n[14] M. Bratman, Intention, Plans, and Practical Reason: Harvard\r\nUniversity Press, 1987.\r\n[15] M. W. Ian Dickinson, \"An Initial Response to the OAS-03\r\nChallenge Problem,\" presented at Autonomous Agents and Multi-\r\nAgent Systems (AAMAS-03), Melbourne, Australia, 2003.\r\n[16] M. Namee and B. Cunningham, \"A Proposal for an Agent\r\nArchitecture for Proactive Persistent Non Player Characters,\" TCDCS-\r\n2001-20, Trinity College Dublin, 2001.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 5, 2007"}