The instructions below are specifically directed at authors who wish to submit a manuscript to Chinese Journal of Population Resources and Environment(CJPRE).For information about writing an artiele,preparing your man...The instructions below are specifically directed at authors who wish to submit a manuscript to Chinese Journal of Population Resources and Environment(CJPRE).For information about writing an artiele,preparing your manuscript and general guidance for authors,please visit the Author Services section of our website(http://journalauthors.tandf.co.uk).Aims and scope CJPRE is an international journal that publishes original research in the fields of economic,population。展开更多
The instructions below are specifically directed at authors who wish to submit a manuscript to Chinese Journal of Population Resources and Environment(CJPRE).For information about writing an article,preparing your man...The instructions below are specifically directed at authors who wish to submit a manuscript to Chinese Journal of Population Resources and Environment(CJPRE).For information about writing an article,preparing your manuscript and general guidance for authors,please visit the Author Services section of our website(http://journalauthors.tandf.co.uk).Aims and展开更多
Purpose-The paper aims to build the connections between game theory and the resource allocation problem with general uncertainty.It proposes modeling the distributed resource allocation problem by Bayesian game.During...Purpose-The paper aims to build the connections between game theory and the resource allocation problem with general uncertainty.It proposes modeling the distributed resource allocation problem by Bayesian game.During this paper,three basic kinds of uncertainties are discussed.Therefore,the purpose of this paper is to build the connections between game theory and the resource allocation problem with general uncertainty.Design/methodology/approach-In this paper,the Bayesian game is proposed for modeling the resource allocation problem with uncertainty.The basic game theoretical model contains three parts:agents,utility function,and decision-making process.Therefore,the probabilistic weighted Shapley value(WSV)is applied to design the utility function of the agents.For achieving the Bayesian Nash equilibrium point,the rational learning method is introduced for optimizing the decision-making process of the agents.Findings-The paper provides empirical insights about how the game theoretical model deals with the resource allocation problem uncertainty.A probabilistic WSV function was proposed to design the utility function of agents.Moreover,the rational learning was used to optimize the decision-making process of agents for achieving Bayesian Nash equilibrium point.By comparing with the models with full information,the simulation results illustrated the effectiveness of the Bayesian game theoretical methods for the resource allocation problem under uncertainty.Originality/value-This paper designs a Bayesian theoretical model for the resource allocation problem under uncertainty.The relationships between the Bayesian game and the resource allocation problem are discussed.展开更多
文摘The instructions below are specifically directed at authors who wish to submit a manuscript to Chinese Journal of Population Resources and Environment(CJPRE).For information about writing an artiele,preparing your manuscript and general guidance for authors,please visit the Author Services section of our website(http://journalauthors.tandf.co.uk).Aims and scope CJPRE is an international journal that publishes original research in the fields of economic,population。
文摘The instructions below are specifically directed at authors who wish to submit a manuscript to Chinese Journal of Population Resources and Environment(CJPRE).For information about writing an article,preparing your manuscript and general guidance for authors,please visit the Author Services section of our website(http://journalauthors.tandf.co.uk).Aims and
基金supported by the Natural Science Foundation of Jiangsu Province of China(Grant No.BK20150851)the Research Innovation Program for College Graduates of Jiangsu Province(Grant No.CXLX13_09)+2 种基金funded by the China Postdoctoral Science Foundation(Grant No.2015M581842)sponsored by NUPTSF(Grant No.NY215011)funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions.
文摘Purpose-The paper aims to build the connections between game theory and the resource allocation problem with general uncertainty.It proposes modeling the distributed resource allocation problem by Bayesian game.During this paper,three basic kinds of uncertainties are discussed.Therefore,the purpose of this paper is to build the connections between game theory and the resource allocation problem with general uncertainty.Design/methodology/approach-In this paper,the Bayesian game is proposed for modeling the resource allocation problem with uncertainty.The basic game theoretical model contains three parts:agents,utility function,and decision-making process.Therefore,the probabilistic weighted Shapley value(WSV)is applied to design the utility function of the agents.For achieving the Bayesian Nash equilibrium point,the rational learning method is introduced for optimizing the decision-making process of the agents.Findings-The paper provides empirical insights about how the game theoretical model deals with the resource allocation problem uncertainty.A probabilistic WSV function was proposed to design the utility function of agents.Moreover,the rational learning was used to optimize the decision-making process of agents for achieving Bayesian Nash equilibrium point.By comparing with the models with full information,the simulation results illustrated the effectiveness of the Bayesian game theoretical methods for the resource allocation problem under uncertainty.Originality/value-This paper designs a Bayesian theoretical model for the resource allocation problem under uncertainty.The relationships between the Bayesian game and the resource allocation problem are discussed.
