@inproceedings{77a8cbd670684400b8f457f421bd1bcc,
title = "An evolutionary study on cooperation in N-person iterated prisoner{\textquoteright}s dilemma game",
abstract = "The iterated prisoner's dilemma game has been used to study on the evolution of cooperation in social, economic and biological systems. There have been much work on the relationship of number of players and cooperation, evolutionary strategy learning as a kind of machine learning, and the effect of payoff function to cooperation. This paper attempts to reveal that cooperative coalition size depends on payoff function and localization affects the evolution of cooperation in the N-player Iterated Prisoner's Dilemma (NIPD). Localization makes individuals to interact or learn with adjacent individuals. Experimental result reports that cooperative coalition size increases as the gradient of the payoff function for cooperation becomes steeper than that of defector's payoff function or as minimum coalition size gets smaller. It is also shown that localization of interaction is an important factor to affect cooperative coalition.",
author = "Seo, {Yeon Gyu} and Cho, {Sung Bae}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1999. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2nd Asia-Pacific Conference on Simulated Evolution and Learning, SEAL 1998 ; Conference date: 24-11-1998 Through 27-11-1998",
year = "1999",
doi = "10.1007/3-540-48873-1_39",
language = "English",
isbn = "3540659072",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "301--308",
editor = "Bob McKay and Xin Yao and Newton, {Charles S.} and Jong-Hwan Kim and Takeshi Furuhashi",
booktitle = "Simulated Evolution and Learning - 2nd Asia-Pacific Conference on Simulated Evolution and Learning, SEAL 1998, Selected Papers",
address = "Germany",
}