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dc.contributor.authorKrüger, Norbert
dc.contributor.authorGeib, Cristopher
dc.contributor.authorPiater, Justus
dc.contributor.authorPetrick, Ronald
dc.contributor.authorSteedman, Mark
dc.contributor.authorWörgötter, Florentin
dc.contributor.authorUde, Ales
dc.contributor.authorAsfour, Tamim
dc.contributor.authorKraft, Dirk
dc.contributor.authorOmrcen, Damir
dc.contributor.authorAgostini, Alejandro Gabriel
dc.contributor.authorDillmann, Rudiger
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.date.accessioned2012-03-15T18:25:12Z
dc.date.available2012-03-15T18:25:12Z
dc.date.created2011
dc.date.issued2011
dc.identifier.citationKrüger, N. [et al.]. Object-action complexes: grounded abstractions of sensory-motor processes. "Robotics and autonomous systems", 2011, vol. 59, núm. 10, p. 740-757.
dc.identifier.issn0921-8890
dc.identifier.urihttp://hdl.handle.net/2117/15586
dc.description.abstractThis paper formalises Object-Action Complexes (OACs) as a basis for symbolic representations of sensorimotor experience and behaviours. OACs are designed to capture the interaction between objects and associated actions in arti cial cognitive systems. This paper gives a formal de nition of OACs, provides examples of their use for autonomous cognitive robots, and enumerates a number of critical learning problems in terms of OACs.
dc.format.extent18 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
dc.subject.lcshMachine learning
dc.subject.othergrounding
dc.subject.otherreasoning about action and change
dc.subject.otherexecution monitoring
dc.subject.othermachine learning
dc.titleObject-action complexes: grounded abstractions of sensory-motor processes
dc.typeArticle
dc.subject.lemacAprenentatge automàtic
dc.contributor.groupUniversitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI
dc.identifier.doi10.1016/j.robot.2011.05.009
dc.subject.inspecClassificació INSPEC::Cybernetics::Artificial intelligence::Learning (artificial intelligence)
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.robot.2011.05.009
dc.rights.accessOpen Access
local.identifier.drac9922109
dc.description.versionPostprint (author’s final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/270273/EU/Robots Bootstrapped through Learning from Experience/XPERIENCE
local.citation.authorKrüger, N.; Geib, C.; Piater, J.; Petrick, R.; Steedman, M.; Wörgötter , F.; Ude, A.; Asfour, T.; Kraft, D.; Omrcen, D.; Agostini, A.G.; Dillmann, R.
local.citation.publicationNameRobotics and autonomous systems
local.citation.volume59
local.citation.number10
local.citation.startingPage740
local.citation.endingPage757


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