CPT-FDR: An Approach to Translating PPDDL Conformant Planning Tasks into Finite-Domain Representations  被引量:2

CPT-FDR: An Approach to Translating PPDDL Conformant Planning Tasks into Finite-Domain Representations

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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. 

分 类 号:TP391.2[自动化与计算机技术—计算机应用技术] O157.4[自动化与计算机技术—计算机科学与技术]

 

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