Does Reinforcement Learning Simulate Threshold Public Goods Games? : A Comparison with Subject Experiments

  • IWASAKI Atsushi
    Cooperative Computing Research Group, Social Communication Laboratory, NTT Communication Science Laboratories, NTT Corporation
  • IMURA Shuichi
    Graduate School of Science and Technology, Kobe University
  • ODA Sobei H.
    Faculty of Economics, Kyoto Sangyo University
  • HATONO Itsuo
    Information Processing Center, Kobe University
  • UEDA Kanji
    Research into Artifact, Center for Engineering , University of Tokyo

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This paper examines the descriptive power and the limitations of a simple reinforcement learning model (REL), comparing the simulation results with the results of an economic experiment employing human subjects. Agent-based computational economics and experimental economics are becoming increasingly popular as tools for economists. A new variety of learning model using games with a unique equilibrium is proposed and examined in both of the fields mentioned above. However, little attention is given to games with multiple equilibria. We examine threshold public goods games with two types of equilibria, where each player in a five-person group simultaneously contributes the public goods from her private endowments. In the experiments, we observe two patterns of the subjects' behavior : the cooperative and non-cooperative patterns. Our simulation results show that the REL reproduces the cooperative pattern, but does not reproduce the non-cooperative pattern. However, the results suggest that the REL does reproduce the non-cooperative pattern in terms of the agents' internal states. That implies that deterministic strategies would be required to reproduce the non-cooperative pattern in the games. We show an example of the REL with deterministic strategies.

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詳細情報 詳細情報について

  • CRID
    1573668927108148480
  • NII論文ID
    110003223304
  • NII書誌ID
    AA10826272
  • ISSN
    09168532
  • 本文言語コード
    en
  • データソース種別
    • CiNii Articles

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