The Applications of Automata in Game Theory

Author:

Almanasra Sally1,Suwais Khaled2,Rafie Muhammad1

Affiliation:

1. Universiti Sains Malaysia, Malaysia

2. Arab Open University, Saudi Arabia

Abstract

In game theory, presenting players with strategies directly affects the performance of the players. Utilizing the power of automata is one way for presenting players with strategies. In this chapter, the authors studied different types of automata and their applications in game theory. They found that finite automata, adaptive automata, and cellular automata are widely adopted in game theory. The applications of finite automata are found to be limited to present simple strategies. In contrast, adaptive automata and cellular automata are intensively applied in complex environment, where the number of interacted players (human, computer applications, etc.) is high, and therefore, complex strategies are needed.

Publisher

IGI Global

Reference48 articles.

1. Almanasra, S. (2007). Learning opponent behavior in game theory using genetic algorithms. Jordan: Al-Balqa' Applied University.

2. Almanasra, S., & Rafie, M. (2010). Comprehensive survey on automata-based game theory. In Proceedings of the 1st International Symposium on Computing in Science & Engineering (pp. 643-647). IEEE.

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