By Hideki Tanuma, Hiroshi Deguchi (auth.), Takao Terano Ph.D., Hajime Kita Dr. Eng., Toshiyuki Kaneda Dr.Eng., Kiyoshi Arai Dr. Eng., Hiroshi Deguchi Ph.D. (eds.)
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 provided on the 3rd foreign Workshop on Agent-Based techniques in fiscal and Social advanced structures 2004, held in may perhaps 2004 in Kyoto, Japan, is integrated during this e-book. the purpose of the workshop was once to hire the bottom-up method of social and monetary difficulties through modeling, simulation, and research utilizing a software program agent. This study zone is an rising interdisciplinary box one of the social sciences and laptop technological know-how, attracting large recognition since it introduces a simulation-based experimental method of difficulties which are turning into more and more complicated in an period of globalization and innovation in details expertise. The state of the art study and findings awarded during this publication should be fundamental instruments for an individual serious about this speedily transforming into discipline.
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Extra info for Agent-Based Simulation: From Modeling Methodologies to Real-World Applications: Post-Proceedings of the Third International Workshop on Agent-Based Approaches in Economic and Social Complex Systems 2004
Each agent has the alternative of forming a new group or joining an existing group. Agent i chooses one group, and then agent i makes an offer to group k which is most tolerable for agent i. Then, For more details see Yamashita and Ohuchi. 39 agent i is added to group k. If there is no tolerable group for agent i, agent i makes no offers and forms a new group. 2 Mutual choice In group formation based on mutual choice, the agent making an offer and the group receiving it form a new group only if both mutually agree.
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. E. (1999). An Introduction to Econophysics, Cambridge University Press Muchnik, L. & Solomon, S. (2003). Statistical mechanics of conventional traders may lead to non-conventional market behavior.
Policy makers could benefit from standardizing current program evaluation methods, in order to compare the impact of NGO interventions with their network roles. The Hong Kong Coalition of AIDS Service Organizations (HKCASO) is a vital institution for the sharing of strategies for AIDS prevention and care within a social structure that is otherwise extremely hierarchical and competitive. The remarkable lack of strategy sharing among NGOs at the time of the study, coupled with findings from the ethnographic research, suggest that an improved mechanism to encourage greater collaboration among the NGOs would heighten the overall effectiveness of HIV/AIDS prevention efforts in Hong Kong.
Agent-Based Simulation: From Modeling Methodologies to Real-World Applications: Post-Proceedings of the Third International Workshop on Agent-Based Approaches in Economic and Social Complex Systems 2004 by Hideki Tanuma, Hiroshi Deguchi (auth.), Takao Terano Ph.D., Hajime Kita Dr. Eng., Toshiyuki Kaneda Dr.Eng., Kiyoshi Arai Dr. Eng., Hiroshi Deguchi Ph.D. (eds.)