Jiang Luo-Luo, Wang Wen-Xu, Lai Ying-Cheng, Wang Bing-Hong
Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China.
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Mar;81(3 Pt 2):036108. doi: 10.1103/PhysRevE.81.036108. Epub 2010 Mar 17.
Recent work has revealed that success-driven migration can promote cooperation among selfish individuals in evolutionary games. This migration mechanism relies, however, on nonlocal information about the states of the individuals and their computational capabilities for prediction. We investigate the role of adaptive migration in cooperative behavior in the framework of spatial game by proposing an alternative migration strategy that requires only local information obtainable through game interactions. Our results demonstrate that adaptive migration can be effective in promoting cooperation in two ways. First, there exists an optimal degree of migration associated with the density of empty sites and migration speed, which leads to the highest level of cooperation. Second, adaptive migration can induce an outbreak of cooperation from an environment dominated by defectors. These findings hold for common types of evolutionary games that involve pairwise interactions.
近期的研究表明,在进化博弈中,成功驱动的迁移能够促进自私个体之间的合作。然而,这种迁移机制依赖于关于个体状态的非局部信息及其预测的计算能力。我们通过提出一种仅需要通过博弈交互可获得的局部信息的替代迁移策略,来研究空间博弈框架下适应性迁移在合作行为中的作用。我们的结果表明,适应性迁移可以通过两种方式有效地促进合作。首先,存在一个与空位点密度和迁移速度相关的最优迁移程度,这会导致最高水平的合作。其次,适应性迁移可以促使合作从一个由背叛者主导的环境中爆发。这些发现适用于涉及两两交互的常见类型的进化博弈。