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  • 标题:Rules, Knowledge and Complexity: How Agents shape their Institutional Environment
  • 本地全文:下载
  • 作者:Alex Smajgl ; Luis R. Izquierdo ; Marco Huigen
  • 期刊名称:Journal of Modelling and Simulation of Systems
  • 印刷版ISSN:1737-9377
  • 电子版ISSN:1737-9385
  • 出版年度:2010
  • 卷号:1
  • 期号:2
  • 出版社:HyperSciences Publisher
  • 摘要:This paper aims to contribute to the advancement of modelling endogenous changes of institutional rules (Ostrom 2006) within social groups. We understand that changes in institutional rules can be modelled exogenously or endogenously. Modelling rule changes exogenously means that it is the modeller who explicitly defines when and what institutional rules come into place. Modelling changes of institutional rules endogenously involves modelling groups of individuals who are able to autonomously invent, assess, and propose social rules. Agent-based modelling is used to simulate this emergent property of a social system in the context of water use. This paper explains the relevance of epistemological characteristics, such as the ability to reason or to learn, for modelling institutional change. The paper argues that rule changes are relevant for many applied models and shows that endogenous rule mechanisms can lead to different model results.
  • 关键词:Institutions; Norms; Agent Based Modelling; Emergence; Social Simulation; Adaptation and;Learning.
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