Decision making is one of the common human activities.But in complex,interactive,and dynamic systems,it is extremely important to make decisions scientifically because the influence of the behavior after decision maki...Decision making is one of the common human activities.But in complex,interactive,and dynamic systems,it is extremely important to make decisions scientifically because the influence of the behavior after decision making is generally irreversible.The predictability of behavior influence is an effective way to improve the scientific decision making.As a new branch of computing,computational experiment is an emerging management method for research on complex systems.In this paper,based on particle swarm intelligence,an evolutionary adaptive system model of brand innovation in the toy industry cluster is constructed.By imitating the evolution process of the complex adaptive system,this method is helpful to analyze the impact of the management behavior brought to simulation system,predict the management behavior in real world,and finally choose the best management strategy.This simulation tried to figure out the affection of government regulation strategies and provide corresponding assessments and recommendations,which gives a new solution to assist the government to effectively judge the influence of the macro policy,as well as provides a new way of thinking of the related intelligent decision making.展开更多
基金This work was supported by the National Natural Science Foundation of China(Nos.62106136 and 61902231)Natural Science Foundation of Guangdong Province(No.2019A1515010943)+2 种基金the Basic and Applied Basic Research of Colleges and Universities in Guangdong Province(Special Projects in Artificial Intelligence)(No.2019KZDZX1030)2020 Li Ka Shing Foundation Cross-Disciplinary Research Grant(No.2020LKSFG04D)Science and Technology Major Project of Guangdong Province(No.STKJ2021005)。
文摘Decision making is one of the common human activities.But in complex,interactive,and dynamic systems,it is extremely important to make decisions scientifically because the influence of the behavior after decision making is generally irreversible.The predictability of behavior influence is an effective way to improve the scientific decision making.As a new branch of computing,computational experiment is an emerging management method for research on complex systems.In this paper,based on particle swarm intelligence,an evolutionary adaptive system model of brand innovation in the toy industry cluster is constructed.By imitating the evolution process of the complex adaptive system,this method is helpful to analyze the impact of the management behavior brought to simulation system,predict the management behavior in real world,and finally choose the best management strategy.This simulation tried to figure out the affection of government regulation strategies and provide corresponding assessments and recommendations,which gives a new solution to assist the government to effectively judge the influence of the macro policy,as well as provides a new way of thinking of the related intelligent decision making.
