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文章基本信息

  • 标题:Emerging Artificial Societies Through Learning
  • 本地全文:下载
  • 作者:Nigel Gilbert ; Matthijs den Besten ; Akos Bontovics
  • 期刊名称:Journal of Artificial Societies and Social Simulation
  • 印刷版ISSN:1460-7425
  • 出版年度:2006
  • 卷号:9
  • 期号:2
  • 页码:1-20
  • 出版社:University of Surrey, Department of Sociology
  • 摘要:The NewTies project is implementing a simulation in which societies of agents are expected to develop autonomously as a result of individual, population and social learning. These societies are expected to be able to solve environmental challenges by acting collectively. The challenges are intended to be analogous to those faced by early, simple, small-scale human societies. This report on work in progress outlines the major features of the system as it is currently conceived within the project, including the design of the agents, the environment, the mechanism for the evolution of language and the peer-to-peer infrastructure on which the simulation runs.
  • 关键词:Artificial Societies; Evolution of Language; Decision Trees; Peer-To-Peer Networks; Social Learning
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