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  • 标题:Synchronization in human decision making
  • 作者:Yi-Fang Liu ; Jørgen Vitting Andersen ; Maxime Frolov
  • 期刊名称:Documents de Travail du Centre d'Economie de la Sorbonne
  • 印刷版ISSN:1955-611X
  • 出版年度:2016
  • 出版社:Centre d'Economie de la Sorbonne
  • 摘要:Just like soldiers crossing a bridge in sync can lead to a catastrophic failure, we show via experiments, theory, and simulations, how synchronization in human decision making can lead to extreme outcomes. Individual decision making and risk taking are well known to be gender dependent. Much less is however understood about gender's impact on the creation of collective risk through aggregate decision making, where the decision of one individual can affect the decision making of other individuals, eventually leading to synchronization in behavior. To study the formation of collective risk created due to synchronization in human decision making, we have devised a series of experiments that can be analyzed and understood within a game theoretical framework. In the experiments each individual in groups of either men or women decide to buy or sell a financial asset based on an information set containing past price behavior. Risk can be generated collectively through coordination in the aggregate decision making, which leads to a price formation far from the fundamental value of the asset. Here we show how collective risks can be generated in groups of both genders, but the pathway to formation of collective risks happens through an individual risk taking which are different for groups composed of men respectively women. A priori we find that it is impossible to know whether a given group will engage in the formation of collective risk, but via a fluctuation based game theoretical framework we are able to estimate the likelihood that it will happen. Our results highlight some of the foundations for creation of excessive collective risks relevant for example in the understanding of financial systemic risks.
  • 关键词:collective decision making; synchronization; agent based modeling
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