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Titlebook: Simulating Social Phenomena; Rosaria Conte,Rainer Hegselmann,Pietro Terna Conference proceedings 1997 Springer-Verlag Berlin Heidelberg 19

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书目名称Simulating Social Phenomena
编辑Rosaria Conte,Rainer Hegselmann,Pietro Terna
视频videohttp://file.papertrans.cn/868/867504/867504.mp4
概述overview of the different methods and problems of modelling and simulating social phenomena * multidisciplinary contributions
丛书名称Lecture Notes in Economics and Mathematical Systems
图书封面Titlebook: Simulating Social Phenomena;  Rosaria Conte,Rainer Hegselmann,Pietro Terna Conference proceedings 1997 Springer-Verlag Berlin Heidelberg 19
描述In this book experts from quite different fields present simulations of social phenomena: economists, sociologists, political scientists, psychologists, cognitive scientists, organisational scientists, decision scientists, geographers, computer scientists, AI and AL scientists, mathematicians and statisticians. They simulate markets, organisations, economic dynamics, coalition formation, the emergence of cooperation and exchange, bargaining, decision making, learning, and adaptation. The history, problems, and perspectives of simulating social phenomena are explicitly discussed.
出版日期Conference proceedings 1997
关键词Keynes; agents; automata; behavior; control; economic growth; evolution; learning; memory; modeling; mutation;
版次1
doihttps://doi.org/10.1007/978-3-662-03366-1
isbn_softcover978-3-540-63329-7
isbn_ebook978-3-662-03366-1Series ISSN 0075-8442 Series E-ISSN 2196-9957
issn_series 0075-8442
copyrightSpringer-Verlag Berlin Heidelberg 1997
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Can Agents Cover All the World? in which cases it is sensible to use multi-agent methods for modeling. To find this answer, we classify earlier modeling approaches and discuss which kinds of agents must be used to replace a traditional model by a multi-agent model. We use a test case to analyze problems of compatibility between agent kinds and interaction modes.
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A Laboratory for Agent Based Computational Economics: The Self-development of Consistency in Agents’building artificial laboratories, for experimenting with learning, self-developed consistency and interaction in artificial worlds of agents, to observe the emergence of rationality and complexity. Two examples of environments created with our technique will be introduced.
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