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Search control in planning for temporally extended goals

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Kabanza, Froduald; Thiebaux, Sylvie

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Current techniques for reasoning about search control knowledge in AI planning, such as those used in TLPlan, TALPlan- ner, or SHOP2, assume that search control knowledge is conditioned upon and interpreted with respect to a fixed set of goal states. Ther

dc.contributor.authorKabanza, Froduald
dc.contributor.authorThiebaux, Sylvie
dc.coverage.spatialMonterey USA
dc.date.accessioned2015-12-13T22:58:12Z
dc.date.createdJune 5 2005
dc.identifier.urihttp://hdl.handle.net/1885/83359
dc.description.abstractCurrent techniques for reasoning about search control knowledge in AI planning, such as those used in TLPlan, TALPlan- ner, or SHOP2, assume that search control knowledge is conditioned upon and interpreted with respect to a fixed set of goal states. Ther
dc.publisherAAAI Press
dc.relation.ispartofseriesInternational Conference on Automated Planning and Scheduling (ICAPS 2005)
dc.sourceProceedings of the Fifteenth International Conference on Automated Planning and Scheduling (ICAPS 2005)
dc.source.urihttp://www.aaai.org/Press/Proceedings/icaps05.php
dc.titleSearch control in planning for temporally extended goals
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2005
local.identifier.absfor080199 - Artificial Intelligence and Image Processing not elsewhere classified
local.identifier.ariespublicationMigratedxPub11611
local.type.statusPublished Version
local.contributor.affiliationKabanza, Froduald, University of Sherbrooke
local.contributor.affiliationThiebaux, Sylvie, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage130
local.bibliographicCitation.lastpage139
dc.date.updated2015-12-12T07:21:41Z
local.identifier.scopusID2-s2.0-84890266469
CollectionsANU Research Publications

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