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dc.contributor.authorGhooshchi, Nina Ghanbari
dc.contributor.authorNamazi, Majid
dc.contributor.authorNewton, MA Hakim
dc.contributor.authorSattar, Abdul
dc.contributor.editorBlai Bonet, Sven Koenig
dc.date.accessioned2017-12-13T04:07:12Z
dc.date.available2017-12-13T04:07:12Z
dc.date.issued2015
dc.identifier.isbn9781577357032
dc.identifier.urihttp://hdl.handle.net/10072/123603
dc.description.abstractWe present a planner named Transition Constraints for Parallel Planning (TCPP). TCPP constructs a new constraint model from domain transition graphs (DTG) of a given planning problem. TCPP encodes the constraint model by using table constraints that allow don't cares or wild cards as cell values. TCPP uses Minion the constraint solver to solve the constraint model and returns the parallel plan. Empirical results exhibit the efficiency of our planning system over state-of-the-art constraint-based planners.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherAssociation for the Advancement of Artificial Intelligence
dc.publisher.placeUnited States
dc.publisher.urihttps://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9966
dc.relation.ispartofconferencename29th Association-for-the-Advancement-of-Artificial-Intelligence (AAAI) Conference on Artificial Intelligence
dc.relation.ispartofconferencetitlePROCEEDINGS OF THE TWENTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE
dc.relation.ispartofdatefrom2015-01-25
dc.relation.ispartofdateto2015-01-30
dc.relation.ispartoflocationAustin, TX
dc.relation.ispartofpagefrom3268
dc.relation.ispartofpagefrom7 pages
dc.relation.ispartofpageto3274
dc.relation.ispartofpageto7 pages
dc.relation.ispartofvolume5
dc.subject.fieldofresearchArtificial Intelligence and Image Processing not elsewhere classified
dc.subject.fieldofresearchcode080199
dc.titleTransition Constraints for Parallel Planning
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.hasfulltextNo Full Text
gro.griffith.authorSattar, Abdul
gro.griffith.authorNewton, MAHakim A.
gro.griffith.authorNamazi, Majid


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