A library of system-derived problem-solving methods for planning

被引:7
|
作者
Valente, A
Benjamins, VR
De Barros, LN
机构
[1] Univ So Calif, Inst Informat Sci, Marina Del Rey, CA 90292 USA
[2] CSIC, IIIA, Artificial Intelligence Res Inst, Bellaterra 08193, Barcelona, Spain
[3] Univ Amsterdam, SWI, NL-1018 WB Amsterdam, Netherlands
[4] Univ Sao Paulo, Dept Elect Engn, Sao Paulo, Brazil
关键词
D O I
10.1006/ijhc.1997.0192
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Constructing a planner for a particular application is a difficult job, for which little contrite support is currently available. The literature on planning is overwhelming and there exists no clear synthesis of the various planning methods which could be used by knowledge engineers. The contribution of this paper concerns an approach to provide concrete support for engineering planning systems. We use modern knowledge modeling approaches to analyse planning systems described in the literature. The analysis yields a detailed description of these planning systems in terms of the domain knowledge they use and the problem-solving methods they comprise. We show how the result of the analysis can be considered as a library of system-derived problem-solving methods for planning. This library consists of planning problem-solving methods along with their assumptions, which describe the applicability conditions on the domain knowledge of the methods. We describe how the library supports knowledge engineers in building planning systems and present two implemented tools based on the approach. (C) 1998 Academic Press Limited.
引用
收藏
页码:417 / 447
页数:31
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