Restarts and Nogood Recording in Qualitative Constraint-based Reasoning

dc.contributor.authorWestphal, Matthias
dc.contributor.authorWolfl, Stefan
dc.contributor.authorLi, Jason
dc.coverage.spatialLisbon Portugal
dc.date.accessioned2015-12-10T23:22:58Z
dc.date.createdAugust 16-20 2010
dc.date.issued2010
dc.date.updated2015-12-10T10:35:51Z
dc.description.abstractThis paper introduces restart and nogood recording techniques in the domain of qualitative spatial and temporal reasoning. Nogoods and restarts can be applied orthogonally to usual methods for solving qualitative constraint satisfaction problems. In particular, we propose a more general definition of nogoods that allows for exploiting information about nogoods and tractable subclasses during backtracking search. First evaluations of the proposed techniques show promising results.
dc.identifier.isbn9781607506058
dc.identifier.urihttp://hdl.handle.net/1885/66748
dc.publisherIOS Press
dc.relation.ispartofseriesEuropean Conference on Artificial Intelligence (ECAI 2010)
dc.sourceProceedings of the European Conference on Artificial Intelligence (ECAI-2010)
dc.titleRestarts and Nogood Recording in Qualitative Constraint-based Reasoning
dc.typeConference paper
local.bibliographicCitation.lastpage1094
local.bibliographicCitation.startpage1092
local.contributor.affiliationWestphal, Matthias, University of Freiburg
local.contributor.affiliationWolfl, Stefan, University of Freiburg
local.contributor.affiliationLi, Jason, College of Engineering and Computer Science, ANU
local.contributor.authoruidLi, Jason, u4381505
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4334215xPUB1337
local.identifier.doi10.3233/978-1-60750-606-5-1093
local.identifier.scopusID2-s2.0-77956035607
local.type.statusPublished Version

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