The Competitions of Forgiving Strategies in the Iterated Prisoner's Dilemma

Autor: Aree Limwudhikraijirath, Mingchu Li, Nakema Deonauth, Ruchdee Binmad, Theerawat Hungsapruek
Rok vydání: 2018
Předmět:
Zdroj: 2018 IEEE International Conference on Agents (ICA).
DOI: 10.1109/agents.2018.8460036
Popis: The iterated prisoner's dilemma or IPD game has been widely used in modelling interactions among autonomous agents. According to the tournament competitions organized by Axelrod, Tit-for-Tat emerged as the most effective strategy on the assumption of an environment clinically free of communicative error or noiseless. However, with noise present, Tit-for- Tat contradictorily finds itself more difficult to maintain cooperation. In this study, the competitions of our proposed strategies and other Tit-for- Tat like strategies in the environment with different levels of noise are presented. The main result is that our proposed strategies provide the most effective performance in both round-robin tournaments and evolutionary dynamics.
Databáze: OpenAIRE