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.
|Title of host publication||Simulated Evolution and Learning - 2nd Asia-Pacific Conference on Simulated Evolution and Learning, SEAL 1998, Selected Papers|
|Editors||Bob McKay, Xin Yao, Charles S. Newton, Jong-Hwan Kim, Takeshi Furuhashi|
|Number of pages||8|
|ISBN (Print)||3540659072, 9783540659075|
|Publication status||Published - 1999|
|Event||2nd Asia-Pacific Conference on Simulated Evolution and Learning, SEAL 1998 - Canberra, Australia|
Duration: 1998 Nov 24 → 1998 Nov 27
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Other||2nd Asia-Pacific Conference on Simulated Evolution and Learning, SEAL 1998|
|Period||98/11/24 → 98/11/27|
Bibliographical notePublisher Copyright:
© Springer-Verlag Berlin Heidelberg 1999.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)