Micro- and macro-level validation in agent-based simulation: Reproduction of human-like behaviors and thinking in a sequential bargaining game

Keiki Takadama, Tetsuro Kawai, Yuhsuke Koyama

研究成果: Article査読

32 被引用数 (Scopus)

抄録

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 £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.

本文言語English
ジャーナルJASSS
11
2
出版ステータスPublished - 2008 3月
外部発表はい

ASJC Scopus subject areas

  • コンピュータ サイエンス(その他)
  • 社会科学(全般)

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