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Memory Size, Learning and Dynamic Preferential Selection in the Spatial Prisoner's Dilemma Game.
- Source :
- International Journal of Nonlinear Sciences & Numerical Simulation; Jan2009, Vol. 10 Issue 1, p119-127, 9p
- Publication Year :
- 2009
-
Abstract
- The prisoner's dilemma is widely used in the research of evolution of cooperation. This work is based on the assumption that players use non-discriminative strategies within their neighborhoods. The paper is also assumed that players have different memory sizes to store the previous interaction histories. Two different learning rules, copy-best-player and copy-best-strategy, are considered in this paper. In each round, a player can use either rule to select the appropriate strategy from his neighbors as his own strategy for the next round. The player uses preferential selection rule to select a neighbor to learn from. By the use of MC (Monte Carlo) simulation, research results are obtained as follows: 1) the preferential selection rule considerably improves the cooperation level in heterogeneous networks while it inhibits the emergence of cooperation in homogeneous regular network; 2) different learning rules and memory sizes significantly affect the evolution of cooperation in all types of network, especially in homogeneous network. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15651339
- Volume :
- 10
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- International Journal of Nonlinear Sciences & Numerical Simulation
- Publication Type :
- Academic Journal
- Accession number :
- 98139395
- Full Text :
- https://doi.org/10.1515/ijnsns.2009.10.1.119