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  • 标题:Explanation in Agent-Based Modelling: Functions, Causality or Mechanisms?
  • 本地全文:下载
  • 作者:Corinna Elsenbroich
  • 期刊名称:Journal of Artificial Societies and Social Simulation
  • 印刷版ISSN:1460-7425
  • 出版年度:2012
  • 卷号:15
  • 期号:3
  • 页码:1-11
  • DOI:10.18564/jasss.1958
  • 出版社:University of Surrey, Department of Sociology
  • 摘要:What kind of knowledge can we obtain from agent-based models? The claim that they help us to study the social world needs unpacking. I will defend agent-based modelling against a recent criticism that undermines its potential as a method to investigate underlying mechanisms and provide explanations of social phenomena. I show that the criticism is unwarranted and the problem can be resolved with an account of explanation that is associated with the social sciences anyway, the mechanism account of explanation developed in Machamer et al. (2000). I finish off discussing the mechanism account with relation to prediction in agent-based modelling.
  • 关键词:Philosophy of Social Science; Causal Explanation; Functional Explanation; Mechanism Explanation; Analytic Sociology
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