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Planning with SAT, Admissible Heuristics and A*

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dc.contributor.authorRintanen, Jussi
dc.coverage.spatialBarcelona Spain
dc.date.accessioned2015-12-10T22:17:09Z
dc.date.createdJuly 16-22 2011
dc.date.issued2011
dc.date.updated2016-02-24T11:30:32Z
dc.description.abstractWe study the relationship between optimal planning algorithms, in the form of (iterative deepening) A with (forward) state-space search, and the reduction of the problem to SAT. Our results establish a strict dominance relation between the two approaches:
dc.identifier.isbn9781577355120
dc.identifier.urihttp://hdl.handle.net/1885/51273
dc.publisherAAAI Press
dc.relation.ispartofseriesInternational Joint Conference on Artificial Intelligence (IJCAI 2011)
dc.sourceOn Qualitative Route Descriptions: Representation and Computational Complexity
dc.subjectKeywords: Dominance relation; Iterative deepening; Optimal planning algorithms; SAT problems; Artificial intelligence; Heuristic algorithms; Iterative methods
dc.titlePlanning with SAT, Admissible Heuristics and A*
dc.typeConference paper
local.bibliographicCitation.startpage6
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.absfor080399 - Computer Software not elsewhere classified
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4963866xPUB220
local.identifier.doi10.5591/978-1-57735-516-8/IJCAI11-336
local.identifier.scopusID2-s2.0-84878789520
local.type.statusPublished Version

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