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Planning for temporally extended goals as propositional satisfiability

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dc.contributor.authorMattmueller, Robert
dc.contributor.authorRintanen, Jussi
dc.coverage.spatialHyderabad India
dc.date.accessioned2015-12-08T22:10:45Z
dc.date.createdJanuary 6-12 2007
dc.date.issued2007
dc.date.updated2016-02-24T11:45:12Z
dc.description.abstractPlanning for temporally extended goals (TEGs) expressed as formulae of Linear-time Temporal Logic (LTL) is a proper generalization of classical planning, not only allowing to specify properties of a goal state but of the whole plan execution. Additionally
dc.identifier.urihttp://hdl.handle.net/1885/29484
dc.publisherCarnegie Mellon University
dc.relation.ispartofseriesInternational Joint Conference on Artificial Intelligence (IJCAI 2007)
dc.sourceProceedings of the International Joint Conference on Artificial Intelligence
dc.source.urihttp://www.ijcai.org/proceedings07.php
dc.subjectKeywords: Classical planning; Domain specific; Linear time temporal logic; LTL model-checking; Partial ordering; Planning problem; Propositional satisfiability; SAT-based planning; Artificial intelligence; Problem solving
dc.titlePlanning for temporally extended goals as propositional satisfiability
dc.typeConference paper
local.bibliographicCitation.lastpage1971
local.bibliographicCitation.startpage1966
local.contributor.affiliationMattmueller, Robert, University of Freiburg
local.contributor.affiliationRintanen, Jussi , College of Engineering and Computer Science, ANU
local.contributor.authoruidRintanen, Jussi , u1814932
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080199 - Artificial Intelligence and Image Processing not elsewhere classified
local.identifier.ariespublicationu8803936xPUB65
local.identifier.scopusID2-s2.0-84880872619
local.type.statusPublished Version

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