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Block-structured plan deordering

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dc.contributor.authorSiddiqui, Fazlul
dc.contributor.authorHaslum, Patrik
dc.coverage.spatialSydney, NSW
dc.date.accessioned2015-12-13T22:17:57Z
dc.date.createdDecember 4 - 7 2012
dc.date.issued2012
dc.date.updated2016-02-24T09:01:53Z
dc.description.abstractPartially ordered plans have several useful properties, such as exhibiting the structure of the plan more clearly which facilitates post-plan generation tasks like scheduling the plan, explaining it to a user, or breaking it into subplans for distributed
dc.identifier.isbn9783642351006
dc.identifier.urihttp://hdl.handle.net/1885/71399
dc.publisherConference Organising Committee
dc.relation.ispartofseriesAustralasian Joint Conference on Artificial Intelligence (AI 2012)
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.subjectKeywords: Distributed execution; Partial ordering; Standard interpretation; Sub-plans; Useful properties; Artificial intelligence
dc.titleBlock-structured plan deordering
dc.typeConference paper
local.bibliographicCitation.lastpage814
local.bibliographicCitation.startpage803
local.contributor.affiliationSiddiqui, Fazlul, College of Engineering and Computer Science, ANU
local.contributor.affiliationHaslum, Patrik , College of Engineering and Computer Science, ANU
local.contributor.authoruidSiddiqui, Fazlul, u5103496
local.contributor.authoruidHaslum, Patrik , u1818590
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.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationf5625xPUB2695
local.identifier.doi10.1007/978-3-642-35101-3_68
local.identifier.scopusID2-s2.0-84871377089
local.type.statusPublished Version

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