Self-Adaptive Strategy for Zero-Sum Game

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 107)

Abstract

Strategy is one of the most important factors to win a game. Especially in zero-sum game, where a loser is necessary to make a winner, the player who has better strategy can be the winner. A fixed or solid strategy cannot be the better strategy, because game is like dancing with partner and responding the partner’s behavior is important. In order to win, the strategy should be dynamically adapted to the situation of the game according to the opponent’s action and at the same time, the strategy should provide the suitable action with performance limitation such as time and space. In this paper, we propose a method of dynamically modifying the strategy to the drift of the game. This method classifies the game situation and selects the best action in that situation by evaluating all the possible options.

Keywords

Evaluation function Rule based strategy Min–Max algorithm 

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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.Graduation School of Information and CommunicationAjou UniversitySuwonKorea
  2. 2.School of Electrical EngineeringKorea UniversitySeoulKorea

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