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

Author:

Wakatsuki Mitsuo1,Fujimura Mari1,Nishino Tetsuro1

Affiliation:

1. The University of Electro-Communications, Japan

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.

Publisher

IGI Global

Reference13 articles.

1. Deep representational learning by multi-layer neural networks;H.Asoh;Journal of Japanese Society for Artificial Intelligence,2013

2. On Temporal Summation in Chaotic Neural Network with Incremental Learning

3. Fujimura, M. (2013). Research on Modeling of the ‘Society of Mind’ Theory in Multi-player Imperfect Information Games (In Japanese) [Graduation Thesis]. University of Electro-Communications, Japan.

4. Building the society of games.;R.Grimbergen;Journal of the Game Amusement Society,2007

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