Intelligent Decision And Intelligent Computing In Evolutionary Game Dynamics

Cooperative behavior exists widely in biological systems and human society Cooperation in biological systems includes both cooperative behaviors based on strong racial relationships,such as social insects,ants,and bees,as well as symbiotic relationships among species.Compared to biological systems,cooperative behavior in human society is deeper,broader,and more diverse.Game theory provides an effective theoretical tool for us to study the phenomenon of cooperation from a micro perspective Some of the typical models,such as the "Prisoner's Dilemma Game","Snowdrift Game","Stone Scissors Game",and Public Goods Game,have been extensively studied Although classic game theory can provide us with the ability to explain and predict outcomes in situations where participants' goals or preferences have potentially conflicting interactive decisions,however,individuals and their connections in nature or human society are more complex Therefore,in order to characterize cooperative behavior more realistically,people have introduced complex networks into evolutionary game theory.In this paper,we have studied and explored the cooperative evolution on complex networks.The main research work includes the following three aspects(1)Based on the co-evolution dynamic modeling of complex network structure parameters,this paper studies the influence of coevolution of expectation and node weight on group behavior decision-making,and explore the co-evolution game dynamics of individual expectation dynamic changes and network node weight dynamic changes for regular networks Influence of the Internal Laws of Self-Organizing Behavior.A large number of numerical simulation results show that there is an optimal range of the effect of expectation level on the fraction of cooperate.A small weight strength ? value can effectively promote cooperation,but the fraction of cooperate decreases with the increase of ? value.The existence of the optimal ? guarantees the evolution of the optimal cooperation.(2)In this paper,we study the evolution of cooperation in 2×2 social dilemma games in which players are located on two-dimensional square lattices.During the evolution,each player modifies her strategy by means of a myopic update dynamic to maximize her payoff while composing neighborhoods of different sizes.A large number of numerical simulation results show that when the number of interactive neighbors increases,players with innovative characteristics show different ordered spatial arrangement dynamics.(3)Based on the model of voluntary prisoner's dilemma game,the spatiotemporal dynamics of cooperation among different populations are discussed.This paper analyzes the dynamic behavior changes caused by the dynamic changes of various factors,systematically gives the influence of dynamic changes of various factors on cooperative behavior,and describes how different adaptive behaviors affect the emergence of cooperative behavior.A large number of numerical simulation results show that the strategies among different populations are not completely competitive,they produce fascinating spatiotemporal dynamics and pattern formation,and also lead to the spontaneous emergence of cyclic advantage.Considering the coexistence of different populations significantly expands the complexity of the evolutionary dynamics of structural populations,and competition from multiple populations plays a vital role in maintaining cooperation among selfish individuals.