不完全信息下开发商Markov博弈均衡的最优策略  

Optimal strategies of developer Markov games equilibrium with incomplete information

作　　者：刘天虎[1] 黄武军[2] 许维胜[1] 吴启迪[1] 

机构地区：[1]同济大学电子与信息工程学院,上海200092 [2]同济大学经济与管理学院,上海200092

出　　处：《计算机工程与应用》2011年第19期233-237,238,共5页Computer Engineering and Applications

摘　　要：搞要:房地产开发商对于资源的争夺存在零和博弈的特点,在信息不对称条件下对开发商经济博弈模型的研究具有重要价值。该研究考虑到市场上存在开发商Cartel联盟的情形,以Markov博弈模型为核心,针对不完全信息下的Cartel联盟与竞争者的Markov博弈均衡进行研究,得到了博弈双方的最优策略及演算方法。最后,利用实例对该模型的有效性和可行性进行了说明。The competition of real estate developer for the resources has the character of zero-sum games,and there has significant value for the research of developer economic game model with asymmetric information.This study considers the existence of developer Cartel alliance in the real estate market,focuses on the Markov game model and research relevant game equilibrium between Cartel alliance and competitor with incomplete information,develops the optimal strategies and algorithm for game participant.Eventually,a practical example is provided to illustrate the validity and feasibility of this model.

关 键 词：不完全信息 Markov博弈 最优策略 

分 类 号：C934[经济管理—管理学]