Combining Domain-Independent Planning and HTN Planning: The Duet Planner

被引:8
|
作者
Gerevini, Alfonso [2 ]
Kuter, Ugur [1 ]
Nau, Dana [1 ]
Saetti, Alessandro [2 ]
Waisbrot, Nathaniel [1 ]
机构
[1] Univ Maryland, Dept Comp Sci, College Pk, MD 20742 USA
[2] Univ Brescia, Dipartimento Elettron Automaz, I-25123 Brescia, Italy
来源
ECAI 2008, PROCEEDINGS | 2008年 / 178卷
关键词
D O I
10.3233/978-1-58603-891-5-573
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Despite the recent advances in planning for classical domains, the question of how to use domain knowledge in planning is yet to be completely and clearly answered. Some of the existing planners use domain-independent search heuristics, and some others depend on intensively-engineered domain-specific knowledge to guide the planning process. In this paper, we describe an approach to combine ideas from both of the above schools of thought. We present Duet, our planning system that incorporates the ability of using hierarchical domain knowledge in the form of Hierarchical Task Networks (HTNs) as in SHOP2 [14] and using domain-independent local search techniques as in LPG [8]. In our experiments, Duet was able to solve much larger problems than LPG could solve, with only minimal domain knowledge encoded in HTNs (much less domain knowledge than SHOP2 needed to solve those problems by itself).
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页码:573 / +
页数:2
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