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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/3871

タイトル: Modeling Sequential Bargaining Game Agents towards Human-like Behaviors : Comparing Experimental and Simulation Results
著者: Kawai, Tetsuro
Koyama, Yuhsuke
Takadama, Keiki
キーワード: subject experiments
agent-based social simulation
sequential bargaining game
reinforcement learning
発行日: Nov-2005
出版者: JAIST Press
抄録: The objective of this paper is to clarify whether the two types of agent-modeling (i.e. Roth’s three parameter RE learning agent and Q-learning agent) are valid in terms of the reproduction of human-like behaviors or not. Specifically, we discuss it from both superficial viewpoint (i.e. simulation results) and internal viewpoint (i.e. simulation modeling). Concretely, we conducted subject experiments of sequential bargaining game and compared two types of simulation results (agents employ two types of learning mechanisms) with experimental results. An intensive comparison of experimental results and simulation results has revealed the following implications: (1-a) from superficial viewpoint, Q-learning agents reproduce human-like behaviors well against Roth’s learning agent; (1-b) even Q-learning agents cannot reproduce the decreasing trend of negotiation size shown in subject experiments; (2-a) from internal viewpoint, the combination with Q-learning and boltzmann distribution selection has the possibility to reproduce human-like behavior which predicts the intention of the opponent; (2-b) even this combination cannot reproduce the decreasing trend of the negotiation size; and (2-c) the maximum limit of Q-values makes the differences of the converged Q-values for all actions in the same state smaller, which contributes to the acquisition of sequential negotiations.
記述: The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.html
IFSR 2005 : Proceedings of the First World Congress of the International Federation for Systems Research : The New Roles of Systems Sciences For a Knowledge-based Society : Nov. 14-17, 2081, Kobe, Japan
Symposium 2, Session 5 : Creation of Agent-Based Social Systems Sciences Decision Systems
言語: ENG
URI: http://hdl.handle.net/10119/3871
ISBN: 4-903092-02-X
出現コレクション:IFSR 2005

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