Evolution of cooperation in the snowdrift game among mobile players with random-pairing and reinforcement learning |
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Authors: | Ning Jia Shoufeng Ma |
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Affiliation: | Institute of Systems Engineering, College of Management and Economics, Tianjin University, Tianjin, 300072, China |
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Abstract: | 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. |
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Keywords: | Evolutionary snowdrift game Emergence of cooperation Moving ability Reinforcement-learning |
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