会议专题

MAPPING CONTINGENT PLANNING INTO MULTI-VALUED PLANNING

Contingent planning involves generating plans in uncertainty environment under partial observability. However, traditional contingent planning problems, described by propositional logic, suffer from many problems. For example, the belief state space is too large. In this paper, we introduce a novel approach that can map propositional contingent planning tasks into Multi-valued contingent planning task (MCPT). Experimental results have shown that our approach is sound and efficient.

Contingent plan Multi-valued contingent planning task (MCPT) Sensing action

XIAN-YI LIU MING-HAO YIN JIA-NAN WANG

College of Computer Science, Northeast Normal University, Changchun, China Network Information Center, Northeast Normal University, Changchun, China

国际会议

2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

昆明

英文

2026-2031

2008-07-12(万方平台首次上网日期,不代表论文的发表时间)