期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 392, 期 22, 页码 5700-5710出版社
ELSEVIER
DOI: 10.1016/j.physa.2013.07.049
关键词
Evolutionary snowdrift game; Emergence of cooperation; Moving ability; Reinforcement-learning
资金
- National Natural Science Foundation of China [71101102, 71271150]
- Program for Changjiang Scholars and Innovative Research Teams at University (PCSIRT)
The evolutionary spatial game in a mobile population has attracted many researchers of biological, social and economic sciences. Considering some facts observed in the real world, this paper proposes a novel spatial evolutionary snowdrift game model with movable players. In this model, one player interacts only with the nearest neighbor in each turn, and makes decision in a reinforcement learning way. In a very large range of the parameters moving ability enhances cooperation, but under some special condition, velocity heavily depresses cooperation. Some explanations have also been given out by investigating the strategy-change behavior of players. The findings may be helpful in understanding cooperative behavior in natural and social systems consisting of mobile agents. (C) 2013 Elsevier B.V. All rights reserved.
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