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dc.contributor.authorAgostini, Alejandro Gabriel
dc.contributor.authorCelaya Llover, Enric
dc.contributor.authorTorras, Carme
dc.contributor.authorWörgötter, Florentin
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.date.accessioned2013-01-17T18:05:54Z
dc.date.available2013-01-17T18:05:54Z
dc.date.created2008
dc.date.issued2008
dc.identifier.citationAgostini, A.G. [et al.]. Action rule induction from cause-effect pairs learned through robot-teacher interaction. A: International Conference on Cognitive Systems. "Proceedings of 2008 International Conference on Cognitive Systems". Karlsruhe: 2008, p. 213-218.
dc.identifier.urihttp://hdl.handle.net/2117/17411
dc.description.abstractIn this work we propose a decision-making system that efficiently learns behaviors in the form of rules using natural human instructions about cause-effect relations in currently observed situations, avoiding complicated instructions and explanations of long-run action sequences and complete world dynamics. The learned rules are represented in a way suitable to both reactive and deliberative approaches, which are thus smoothly integrated. Simple and repetitive tasks are resolved reactively, while complex tasks would be faced in a more deliberative manner using a planner module. Human interaction is only required if the system fails to obtain the expected results when applying a rule, or fails to resolve the task with the knowledge acquired so far.
dc.format.extent6 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
dc.subject.lcshArtificial intelligence
dc.subject.otherintelligent robots learning (artificial intelligence) planning (artificial intelligence)
dc.titleAction rule induction from cause-effect pairs learned through robot-teacher interaction
dc.typeConference report
dc.subject.lemacIntel·ligència artificial
dc.contributor.groupUniversitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI
dc.contributor.groupUniversitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel.ligents
dc.subject.inspecClassificació INSPEC::Cybernetics::Artificial intelligence
dc.relation.publisherversionhttp://www.cogsys2008.org/
dc.rights.accessOpen Access
drac.iddocument9877032
dc.description.versionPostprint (published version)
upcommons.citation.authorAgostini, A.G.; Celaya, E.; Torras, C.; Wörgötter , F.
upcommons.citation.contributorInternational Conference on Cognitive Systems
upcommons.citation.pubplaceKarlsruhe
upcommons.citation.publishedtrue
upcommons.citation.publicationNameProceedings of 2008 International Conference on Cognitive Systems
upcommons.citation.startingPage213
upcommons.citation.endingPage218


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain