摘要
规划是人工智能研究的一个重要方向,具有极其广泛的应用背景.POMDPRS是一种结合了PRS的持续规划机制、POMDP的概率分布信念模型和极大效用原理的持续规划系统.它具有较强的对动态不确定性环境的适应能力.本文试图在形式语义层面上对POMDPRS进行描述并举例将其与PRS和POMDP比较,进一步说明其优势.
Planning is a main research direction in artificial intelligence and has widely application background. POMDPRS is a continual planning system which combines the continual planning mechanism of PRS, the probabilistic distribution belief model and the maximum utility principle of POMDP, so that it gains stronger abilities of adapting to dynamic nondeterministic environments. This paper intends to descript POMDPRS in formal semantics level. Further more, An example will be given to compare POMDPRS to PRS and POMDP for illuminating its advantages.
出处
《小型微型计算机系统》
CSCD
北大核心
2009年第7期1274-1281,共8页
Journal of Chinese Computer Systems
