【摘要】 指出了以Nash为代表的经典博弈论及其纳什均衡解在完全理性假设下的理论缺陷,从而引入有限理性下的演化博弈论.介绍了演化博弈论中策略进化的思想,提出有限理性的实质是怎么去学习,进而探讨了演化博弈中的各种学习模型.介绍了基于个体的学习模型和网络上的演化博弈研究进展;提出了用演化博弈去解释现实复杂网络的设想;分析了网络结构和博弈策略的互演化思想.讨论了演化博弈框架下合作的进化及合作机制的研究进展.最后,对演化博弈今后的发展趋势和研究方向给出了评述.更多还原

【Abstract】 This paper gives the theory defects of the traditional game theory and Nash equilibrium solution under the assumption of fully rationality,thus introduces evolutionary game theory,which is in the framework of bounded rationality.It describes the evolutionary thinking of strategies in evolutionary games, proposes that the essence of bounded rationality is learning,and then explores variety learning models in the evolutionary games.It introduces the agent-based learning models and progress in evolutionary games on networks;proposes the idea of explaining some complex network structure in reality using evolutionary game theory;analyzes the coevolutionary thinking of network structure and strategies in games.It discusses progress in mechanisms for the evolution of cooperation in the framework of evolutionary games. Finally,some comments are given for the development trends and the future research directions of the evolutionary games.更多还原