2A2-2 Strategic Behavior Generation with Cognitive Distance in Two-Player Games

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概要

• 論文の詳細を見る

• In game theoretical approaches to multi-agent systems, a payoff matrix is often given a priori and used by agents in action selection. By contrast, in this paper we approach the problem of decision making by use of the concept of cognitive distance, which is a notion of the difficulty of an action perceived subjectively by the agent. As opposed to ordinary physical distance, cognitive distance depends on the situation and skills of the agent, ultimately representing the perceived difficulty in performing an action given the current state. We show how an agent can learn its cognitive distance parameters by estimating and observing the outcomes of its actions. This learning algorithm is then applied to two-player game scenarios.

• 一般社団法人日本機械学会の論文
• 2006-09-25

著者

• Fukuda Toshio

  Dept. Of Mech. Nagoya Univ.

• Fukuda Toshio

  Dept. Of Micro-nano Systems Engineering Nagoya University

• Sekiyama Kosuke

  Dept. Of Micro-nano Systems Engineering Nagoya University

• Carnieri Ricardo

  Dept. of Micro-Nano Systems Engineering, Nagoya University

• Carnieri Ricardo

  Dept. Of Micro-nano Systems Engineering Nagoya University

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• 2A2-2 Strategic Behavior Generation with Cognitive Distance in Two-Player Games

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