http://swrc.ontoware.org/ontology#InProceedings
Emergence of cooperation and patterns of move-play in Demographic Donor-Recipient Game
en
demographic game
Donor-Recipient game
emergence of cooperation
generalized reciprocity
Agent-Based Simulation
Namekata Tsuneyuki
Namekata Yoko
Proceedings of the 15th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty
1-8
2012
417
数学
We examine distribution of strategies in demographic Donor-Recipient game where patterns of move-play are restricted to simple structure. Players are initially randomly distributed in square lattice of cells. In each period, players move locally to random cell in neighbors or globally to random unoccupied cell in the whole lattice, and play multiple games against local neighbors or against randomly selected global players. We restrict patters of move (play) to local or global; local (global) means with high probability the player moves (plays) locally (globally). If wealth (accumulated payoff) of player becomes negative or his age becomes greater than his lifetime, he dies. If his wealth becomes greater than some amount and there is unoccupied cell in neighbors, he has an offspring. Players consist of TFT-like strategies; TFT uses Defect if the state is 0, Cooperate if it is 1 and the smallest state number that prescribes Cooperate is regarded as threshold. We allow up to three states and assume players may change their threshold at most once depending on their experience. We show, by Agent-Based Simulation, for example, Cooperative strategies evolutionarily tend to move and play locally, Defective do not, and AllC and AllD are abundant unless all strategies initially play locally.
15th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty
Osaka, Japan
September 24-27, 2012