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AuTsz-Chiu

Au, Tsz-Chiu
Agents & Robotic Transportation Lab.
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dc.citation.conferencePlace US -
dc.citation.conferencePlace ROBERT GORDON UNIV; ABERDEEN; SCOTLAND -
dc.citation.endPage 27 -
dc.citation.startPage 13 -
dc.citation.title 6th European Conference on Case-Based Reasoning (ECCBR) -
dc.contributor.author Au, Tsz-Chiu -
dc.contributor.author Munoz-Avila, Hector -
dc.contributor.author Nau, Dana S. -
dc.date.accessioned 2023-12-20T06:08:25Z -
dc.date.available 2023-12-20T06:08:25Z -
dc.date.created 2014-12-23 -
dc.date.issued 2002-09-04 -
dc.description.abstract In this paper we present an algorithm called DerUCP, which can be regarded as a general model for plan adaptation using Derivational Analogy. Using DerUCP, we show that previous results on the complexity of plan adaptation do not apply to Derivational Analogy. We also show that Derivational Analogy can potentially produce exponential reductions in the size of the search space generated by a planning system. -
dc.identifier.bibliographicCitation 6th European Conference on Case-Based Reasoning (ECCBR), pp.13 - 27 -
dc.identifier.issn 0302-9743 -
dc.identifier.scopusid 2-s2.0-23044534057 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/34496 -
dc.identifier.url https://link.springer.com/chapter/10.1007%2F3-540-46119-1_3 -
dc.language 영어 -
dc.publisher ECCBR -
dc.title On the complexity of plan adaptation by derivational analogy in a universal classical planning framework -
dc.type Conference Paper -
dc.date.conferenceDate 2002-09-04 -

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