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dc.contributor.authorGerevini, A. E.en
dc.contributor.authorHaslum, P.en
dc.contributor.authorLong, D.en
dc.contributor.authorSaetti, A.en
dc.contributor.authorDimopoulos, Yannisen
dc.creatorGerevini, A. E.en
dc.creatorHaslum, P.en
dc.creatorLong, D.en
dc.creatorSaetti, A.en
dc.creatorDimopoulos, Yannisen
dc.date.accessioned2019-11-13T10:40:14Z
dc.date.available2019-11-13T10:40:14Z
dc.date.issued2009
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54018
dc.description.abstractThe international planning competition (IPC) is an important driver for planning research. The general goals of the IPC include pushing the state of the art in planning technology by posing new scientific challenges, encouraging direct comparison of planning systems and techniques, developing and improving a common planning domain definition language, and designing new planning domains and problems for the research community. This paper focuses on the deterministic part of the fifth international planning competition (IPC5), presenting the language and benchmark domains that we developed for the competition, as well as a detailed experimental evaluation of the deterministic planners that entered IPC5, which helps to understand the state of the art in the field. We present an extension of pddl, called pddl3, allowing the user to express strong and soft constraints about the structure of the desired plans, as well as strong and soft problem goals. We discuss the expressive power of the new language focusing on the restricted version that was used in IPC5, for which we give some basic results about its compilability into pddl2. Moreover, we study the relative performance of the IPC5 planners in terms of solved problems, CPU time, and plan qualityen
dc.description.abstractwe analyse their behaviour with respect to the winners of the previous competitionen
dc.description.abstractand we evaluate them in terms of their capability of dealing with soft goals and constraints, and of finding good quality plans in general. Overall, the results indicate significant progress in the field, but they also reveal that some important issues remain open and require further research, such as dealing with strong constraints and computing high quality plans in metric-time domains and domains involving soft goals or constraints. © 2009 Elsevier B.V.en
dc.sourceArtificial Intelligenceen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-60549110392&doi=10.1016%2fj.artint.2008.10.012&partnerID=40&md5=6dbc4ddc4fb0ab823dd4c1b203cb07b2
dc.subjectCompetitionen
dc.subjectLinguisticsen
dc.subjectBenchmarkingen
dc.subjectKnowledge representationen
dc.subjectQuery languagesen
dc.subjectPlanningen
dc.subjectPlanning systemsen
dc.subjectAutomated planningen
dc.subjectBenchmarks for planningen
dc.subjectExperimental evaluation of planning systemsen
dc.subjectInternational planning competitionen
dc.subjectKnowledge representation in planningen
dc.subjectPDDLen
dc.subjectPlan constraintsen
dc.subjectPlanning languagesen
dc.subjectPreferences in planningen
dc.titleDeterministic planning in the fifth international planning competition: PDDL3 and experimental evaluation of the plannersen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1016/j.artint.2008.10.012
dc.description.volume173
dc.description.issue5-6
dc.description.startingpage619
dc.description.endingpage668
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeArticleen
dc.description.notes<p>Cited By :142</p>en
dc.source.abbreviationArtif.Intell.en
dc.contributor.orcidDimopoulos, Yannis [0000-0001-9583-9754]
dc.gnosis.orcid0000-0001-9583-9754


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