By Takao Terano, Hajime Kita, Toshiyuki Kaneda, Kiyoshi Arai, Hiroshi Deguchi (Editors)
Agent-based modeling/simulation is an rising box that makes use of bottom-up and experimental research within the social sciences. chosen learn from that offered on the 3rd overseas Workshop on Agent-Based techniques in fiscal and Social advanced platforms 2004, held in may perhaps 2004 in Kyoto, Japan, is incorporated during this booklet. the purpose of the workshop was once to hire the bottom-up method of social and financial difficulties by way of modeling, simulation, and research utilizing a software program agent. This examine region is an rising interdisciplinary box one of the social sciences and machine technology, attracting vast consciousness since it introduces a simulation-based experimental method of difficulties which are changing into more and more advanced in an period of globalization and innovation in info expertise. The cutting-edge examine and findings awarded during this e-book should be vital instruments for an individual excited about this swiftly transforming into self-discipline.
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2002) Agent-based modeling: methods and techniques for simulating human systems, Proc. Nat. Acad. Sei. , Moresi, L. 2001. Interactive inversion in geosciences. Geophysics 66, 1226-1234. , Marsili, M. -C. (1997) A prototype model of stock exchange. Europhys. Lett. 40, 479-484 Dawkins. R. 1987. The Blind Watchmaker. W. W. Norton, New York. Epstein J. , Axtell R. L. (1996) Growing artificial societies: social science from the bottom up (MIT Press, Cambridge, MA). D. (1999) Physicists attempt to scale the ivory towers of finance.
Axtell (2002) Non-cooperative Dynamics of Multi-agent Teams. In Proceedings of The First International Joint Conference on Autonomous Agents and Multiagent Systems, pages 1082-1089 3. L. Tesfatsion (1997) A Trade Network Game with Endogenous Partner Selection. , pages 249-269 4. T. Yamashita and A. Ohuchi (2002) Analysis of Norms Game with Mutual Choice. In Exploring New Frontiers on Artificial Intelligence, pages 174-184. Springer-Verlag Tokyo Evolution of Cooperative Beliavior in C2C market: Effect of Reputation IVIanagement System Hitoshi Yamamoto^ Kazunari Ishida^, and Toshizumi Ohta^ ^ The Graduate School of Information Systems, University of ElectroCommunications, 1-5-1 Choufugaoka, Chouflishi, Tokyo 182-8585, Japan ^Faculty of International Agriculture and Food Studies, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagayaku, Tokyo, 156-0054, Japan Summary.
Goldberg, D. E. 1989. Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley Longman Publishing. LeBaron, B. (2001) A builder's guide to agent-based financial markets. , Levy, H. and Solomon, S. (2000). Microscopic Simulation of Financial Markets: From Investor Behavior to Market Phenomena. (Academic Press, San Diego, CA). Lux, T. & Marchesi, M. (1999). Scaling and criticality in a stochastic multi-agent model of a financial market. Nature 397, 498-500 Mantegna, R. & Stanley, H.
Agent-Based Simulation: From Modeling Methodologies to Real-World Applications: Post Proceedings of the Third International Workshop on Agent-Based Approaches ... Series on Agent Based Social Systems) by Takao Terano, Hajime Kita, Toshiyuki Kaneda, Kiyoshi Arai, Hiroshi Deguchi (Editors)