Brownian Snake Measure-Valued Markov Decision Process

摘要：

　　This paper presents a model called Brownian snake measure-valued Markov decision process (BSMMDP) that can simulate an important characteristic of human thought, that is, when people think problems, sometimes they can suddenly connect events that are remote in space-time so as to solve problems.We also discuss how to find an (approximate) optimal policy within this framework.If Artificial Intelligence can simulate human thought, then maybe it is beneficial for its progress.BSMMDP is just following this idea, and trying to describe the talent of human mind.

关键词： Brownian snake measure-valued Markov decision process Markov decision process human mind Brownian snake

作者: Zhenzhen Wang Hancheng Xing

作者单位: School of Information Technology,Jinling Institute of Technology, Nanjing, 211169, China School of Computer Science & Engineering,Southeast University, Nanjing 210096, China

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 258-266

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）