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作 者:LI Weisheng ZHANG Zhen WANG Weixing
机构地区:[1]College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China [2]College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China
出 处:《Chinese Journal of Electronics》2012年第1期53-58,共6页电子学报(英文版)
基 金:This work is supported by the National Natural Science Foundation of China (No.60842003), and the Key Project of Chinese Ministry of Education (No.210184).
摘 要:Getting a compact representation of belief spaces is one of the most important issues in a conformant planning task. In this paper, a translation approach to Conformant planning tasks in a Finite-domain representa- tion, noted the CPT-FDR, is studied to translate confor- mant planning tasks specified in PPDDL formalism into a concise grounded representation that uses finite-domain state variables. It is extended for the semantic of the non- deterministic effects, fluents, axioms, and extended belief states. The FDR-based translation algorithm employs sev- eral techniques that can deal with the uncertainty in the initial state and in the non-deterministic operator effects. The experimental results show that the approach can map the conformant planning tasks in the PPDDL into finite- domain representation, and CPT-FDRs can save the mem- ory space and reduce the size of belief states effectively.
关 键 词:Finite-domain representation Confor- mant planning CPT-FDR Non-deterministic action ef- fect.
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