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Titolo:
Planning by rewriting
Autore:
Ambite, JL; Knoblock, CA;
Indirizzi:
Univ So Calif, Inst Informat Sci, Marina Del Rey, CA 90292 USA Univ So Calif Marina Del Rey CA USA 90292 i, Marina Del Rey, CA 90292 USA Univ So Calif, Dept Comp Sci, Marina Del Rey, CA 90292 USA Univ So Calif Marina Del Rey CA USA 90292 i, Marina Del Rey, CA 90292 USA
Titolo Testata:
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
, volume: 15, anno: 2001,
pagine: 207 - 261
SICI:
1076-9757(2001)15:<207:PBR>2.0.ZU;2-V
Fonte:
ISI
Lingua:
ENG
Soggetto:
SEARCH-CONTROL KNOWLEDGE; COMPLEXITY; OPTIMIZATION; QUALITY; STRIPS; REUSE;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
85
Recensione:
Indirizzi per estratti:
Indirizzo: Ambite, JL Univ So Calif, Inst Informat Sci, 4676 Admiralty Way, Marina Del Rey, CA 90292 USA Univ So Calif 4676 Admiralty Way Marina Del Rey CA USA 90292 SA
Citazione:
J.L. Ambite e C.A. Knoblock, "Planning by rewriting", J ARTIF I R, 15, 2001, pp. 207-261

Abstract

Domain-independent planning is a hard combinatorial problem. Taking into account plan quality makes the task even more difficult. This article introduces Planning by Rewriting (PbR), a new paradigm for efficient high-qualitydomain-independent planning. PbR exploits declarative plan-rewriting rulesand efficient local search techniques to transform an easy-to-generate, but possibly suboptimal, initial plan into a high-quality plan. In addition to addressing the issues of planning efficiency and plan quality, this framework offers a new anytime planning algorithm. We have implemented this planner and applied it to several existing domains. The experimental results show that the PbR approach provides significant savings in planning effort while generating high-quality plans.

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Documento generato il 19/01/20 alle ore 09:21:20