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A Decision Making Method Based on Society of Mind Theory in Multi-Player Imperfect Information Games

A Decision Making Method Based on Society of Mind Theory in Multi-Player Imperfect Information Games
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Author(s): Mitsuo Wakatsuki (The University of Electro-Communications, Japan), Mari Fujimura (The University of Electro-Communications, Japan)and Tetsuro Nishino (The University of Electro-Communications, Japan)
Copyright: 2020
Pages: 13
Source title: Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-0414-7.ch019

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Abstract

The authors are concerned with a card game called Daihinmin (Extreme Needy), which is a multi-player imperfect information game. Using Marvin Minsky's “Society of Mind” theory, they attempt to model the workings of the minds of game players. The UEC Computer Daihinmin Competitions (UECda) have been held at the University of Electro-Communications since 2006, to bring together competitive client programs that correspond to players of Daihinmin, and contest their strengths. In this paper, the authors extract the behavior of client programs from actual competition records of the computer Daihinmin, and propose a method of building a system that determines the parameters of Daihinmin agencies by machine learning.

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