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- W2076797120 abstract "Evolutionary games are widely studied in the fields of biology, physics, sociology, economics and informatics. People's interests focus on how to explain cooperation emerged in a population that individuals are selfish. Many researches reveal that some mechanisms contribute to the cooperation such that network structure, memory device and so on. This paper gives a new illustration to the phenomenon: inheritance. A scare-free network is build and agents locate on the nodes to simulate individuals in population. Each agent has two devices: memory and chromosome. The memory can remember the game history with its' neighbors. The chromosome is constructed by genes (‘0’ or ‘1’), and the genes mean cooperation or defection to a particular history. In a generation, every agent games with its neighbors repeatedly; its strategy (cooperation or defection) is decided by game history and chromosome. Then agents evolved to next generation by chromosome's crossover and mutation with their neighbors who get high payoffs in games. We show the cooperation ratio distribution in the 2×2 game model and some characteristic genes and frequently used genes emerges after generations. These findings give new perspectives to the illustration of cooperation behavior in biological group and society." @default.
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- W2076797120 date "2010-09-01" @default.
- W2076797120 modified "2023-10-12" @default.
- W2076797120 title "Properties of 2×2 game based on genetic algorithm" @default.
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- W2076797120 doi "https://doi.org/10.1109/bicta.2010.5645349" @default.
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