A Multi-agent Based Migration Model for Evolving Cooperation in the Spatial N-Player Snowdrift Game

摘要: In recent years, there has been an increased interest in using agent-based simulation models to investigate the evolution of cooperative behaviour spatial evolutionary games. However, relationship between individual player mobility (or migration) and population dynamics is not clear. this paper, we impacts alternative migration mechanisms N-player Snowdrift game. Here, agents occupy sites a two-dimensional toroidal lattice. Specific game instances are created by nominating N from each local neighbourhoods. We use genetic algorithm evolve agent game-playing strategies. addition, have opportunity migrate different lattice at regular intervals. Key parameters our model include rate, actual dispersal distance, “take-over” scheme, group size N, relative cost-to-benefit ratio Detailed experiments show that proposed able promote cooperation mobile agents. magnitude distance plays significant role determining dynamics. Our findings help further understand how migratory (mobility) patterns affect processes.