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Micro- and Macro-Level Validation in Agent-Based Simulation: Reproduction of Human-Like Behaviors and Thinking in a Sequential Bargaining Game

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  • Keiki Takadama

    ()

  • Tetsuro Kawai

    ()

  • Yuhsuke Koyama

    ()

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    Abstract

    This paper addresses both micro- and macro-level validation in agent-based simulation (ABS) to explore validated agents that can reproduce not only human-like behaviors externally but also human-like thinking internally. For this purpose, we employ the sequential bargaining game, which can investigate a change in humans' behaviors and thinking longer than the ultimatum game (i.e., one-time bargaining game), and compare simulation results of Q-learning agents employing any type of the three types of action selections (i.e., the ε-greedy, roulette, and Boltzmann distribution selections) in the game. Intensive simulations have revealed the following implications: (1) Q-learning agents with any type of three action selections can reproduce human-like behaviors but not human-like thinking, which means that they are validated from the macro-level viewpoint but not from the micro-level viewpoint; and (2) Q-learning agents employing Boltzmann distribution selection with changing the random parameter can reproduce both human-like behaviors and thinking, which means that they are validated from both micro- and macro-level viewpoints.

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    File URL: http://jasss.soc.surrey.ac.uk/11/2/9/9.pdf
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    Bibliographic Info

    Article provided by Journal of Artificial Societies and Social Simulation in its journal Journal of Artificial Societies and Social Simulation.

    Volume (Year): 11 (2008)
    Issue (Month): 2 ()
    Pages: 9

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    Handle: RePEc:jas:jasssj:2007-75-2

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    Related research

    Keywords: Micro- and Macro-Level Validation; Agent-Based Simulation; Agent Modeling; Sequential Bargaining Game; Reinforcement Learning;

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