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dc.contributor.authorCardoso, Rafael Cauê
dc.contributor.authorBordini, Rafael Heitor
dc.date.accessioned2017-07-26T11:08:54Z
dc.date.available2017-07-26T11:08:54Z
dc.date.issued2017-06-30
dc.identifier.citationADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 6 (2017)
dc.identifier.issn2255-2863
dc.identifier.urihttp://hdl.handle.net/10366/133640
dc.description.abstractDescribing planning domains using a common formalism promotes greater reuse of research, allowing a fairer comparison between different planners and approaches. Common planning formalisms for single-agent planning are already well established (e.g., PDDL, STRIPS, and HTN), but currently there is a shortage of multi-agent planning formalisms with clear semantics. In this paper, we propose a multi-agent extension of the Hierarchical Task Network (HTN) planning formalism for multi-agent planning problems. Our formalism, the Multi-Agent Hierarchical Task Network (MA-HTN), can be used to specify and represent multi-agent planning domains and problems. We provide a grammar with semantics for the domain and problem representation, and describe two case studies with the translation from multi-agent systems developed in JaCaMo to our MA-HTN formalism.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherEdiciones Universidad de Salamanca (España)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputación
dc.subjectInformótica
dc.subjectComputing
dc.subjectInformation Technology
dc.titleA Multi-Agent Extension of a Hierarchical Task Network Planning Formalism
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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