Co-evolutionary classifier systems for multi-agent simulation

Keywords

Computer science, Reinforcement learning, Scalability, Macro, Artificial intelligence

References

• Gossip, Sexual Recombination and the El Farol bar: modelling the emergence of heterogeneityBruce Edmonds — 1998
• Inductive Reasoning and Bounded RationalityW. Brian Arthur — 1994
• Multi-agent systems: An introduction to distributed artificial intelligenceJacques Ferber — 1999
• Collective intelligence for control of distributed dynamical systemsDavid H. Wolpert, Kevin Wheeler, Kagan Tumer — 1999
• Implicit Niching in a Learning Classifier System: Nature's WayJeffrey Horn, David E. Goldberg, Kalyanmoy Deb — 1994
• ZCS: A Zeroth Level Classifier SystemStewart W. Wilson — 1994
• Emergence of cooperation and organization in an evolutionary gameD. Challet, Y.-C. Zhang — 1997
• Hidden Order: How Adaptation Builds ComplexityFrancis Fukuyama, John H. Holland — 1995
• Genetic Algorithms in Search Optimization and Machine LearningD. Goldberg — 1988
• Genetic Algorithms in Search, Optimization and Machine LearningDavid E. Goldberg, David Robson — 1988
• © Springer-Verlag 2002J. Peters, A. Thalhammer, V. Jacobi — 2002
• Hidden Order: How Adaptation Builds ComplexityRoger F. Malina, John H. Holland — 1996
• Social Simulation Using a Multi-agent Model Based on Classifier Systems: The Emergence of Vacillating Behaviour in the "El Farol" Bar ProblemL. M. Hercog, T. Fogarty — 2001
• On ZCS in Multi-agent EnvironmentsL. Bull — 1998
• Complexity in economic theory: inductive reasoning and bounded rationalityW. Arthur — 1994
• Gossip, Sexual Recombination and the El Farol Bar: modelling the emergence of heterogeneityBruce Edmonds — 1997
• Emergence of cooperation and organization in an evolutionary gameDamien Challet, Yong Zhang

Cited by

• On the use of rule-sharing in learning classifier system ensemblesLarry Bull, Matthew Studley, Tony Bagnall — 2005
• Better manufacturing process organization using multi-agent self-organization and co-evolutionary classifier systems: The multibar problemLuis Miramontes Hercog — 2013
• Decision-Making Using Random Boolean Networks In The El Farol Bar ProblemDaniel A. Epstein, Ana LC Bazzan — 2011
• Learning classifier systems to evolve classification rules for systems of memory constrained componentsAlexander Scheidler, Martin Middendorf — 2011
• Les systèmes de classeursOlivier Sigaud — 2007
• A brief history of learning classifier systems: from CS-1 to XCS and its variantsLarry Bull — 2014
• Learning Classifier System Ensembles With Rule-SharingLarry Bull, Matthew Studley, Anthony Bagnall — 2007
• Image classification with stacked restricted boltzmann machines and evolutionary function array classification voterSiyi Chen, Gang Liu, Cong Wu — 2016
• A Survey of Learning Classifier Systems in Games [Review Article]Kamran Shafi, Hussein A. Abbass — 2017
• The 2003 Learning Classifier Systems BibliographyTim Kovacs, Lanzi Pier Luca — 2002
• OntheuseofRule-Sharing inLearning Classifier System EnsemblesM. Studley — 2005
• Automatic Negotiation using LCS-based Multi-Agent SystemsL. M. Hercog, T. Fogarty
• Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Arti cial ComputingS. Wilson — 2010
• A Multi-agent System as Framework for Learning Algorithms BenchmarkingL. M. Hercog, T. Fogarty — 2004
• Traffic Balance using Classifier Systems in an Agent based SimulationL. M. Hercog — 2004

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