Predicting mood behaviors of prisoner’s dilemma players

Abstract

Over the last few years, attention goes to the model of Three-Player Prisoner’s Dilemma Iterated Game. In this work we are concerned with studying the competition between strategies with special behavior in this model. These strategies have behavior similar to Tit for Tat strategy. We focus on strategies with angry behavior and strategies with tolerant behavior. The results reveal the qualities of the winning strategy. From our studies we can judge the social behavior that must be enjoyed by the person who follows the winning strategy. A learning algorithm has been designed and a multi-agent system has been developed to obtain our results.