匿名公共物品演化博弈中的有限理性研究

Study on the Bounded Rationality in Anonymous Public Goods Game

将前景理论和演化博弈论相结合,构建更符合人类真实行为模式的微观动力学.采用蒙特卡罗方法在二维正方网格中进行匿名公共物品演化博弈的数值模拟,计算结果表明群体合作水平受个体的贪婪度、损益敏感度以及策略相对敏感度的共同作用,总体上容易满足的合作者与贪婪的背叛者更容易促进群体合作,同时在特定条件下系统可以达到全合作状态但无法达到全背叛状态.从微观层面阐明了在匿名公共物品博弈中个体的利他行为动机,是研究社会困境中的有限理性探索学科交叉的有效途径.

A new asymmetric micro-dynamic is constructed by combining prospect theory with evolutionary game theory.Monte Carlo simulations of anonymous public goods game were carried out on a two-dimensional square lattice.The results show that the level of cooperation is affected by individual greediness and the sensitivity to benefits.Cooperation can be promoted in the population comprising easy-satisfied cooperators and greedy defectors.Besides,the system is impossible to reach a full-defection state.The motivation of altruistic behavior was further discussed from the microscopic level.Interdisciplinary approaches are necessary for the research on human bounded rationality.