Mostra el registre d'ítem simple
Action rule induction from cause-effect pairs learned through robot-teacher interaction
dc.contributor.author | Agostini, Alejandro Gabriel |
dc.contributor.author | Celaya Llover, Enric |
dc.contributor.author | Torras, Carme |
dc.contributor.author | Wörgötter, Florentin |
dc.contributor.other | Institut de Robòtica i Informàtica Industrial |
dc.date.accessioned | 2009-03-13T09:25:43Z |
dc.date.available | 2009-03-13T09:25:43Z |
dc.date.created | 2008 |
dc.date.issued | 2008 |
dc.identifier.citation | Agostini, Alejandro; Celaya, Enric; Torras, Carme; Wörgötter, Florentin. "Action rule induction from cause-effect pairs learned through robot-teacher interaction". A: 2008 International Conference on Cognitive Systems (CogSys), Karlsruhe, Alemanya, 2008. University of Karlsruhe, 2008, p. 213-218. |
dc.identifier.uri | http://hdl.handle.net/2117/2706 |
dc.description.abstract | In 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.extent | p. 213-218 |
dc.language.iso | eng |
dc.publisher | University of Karlsruhe |
dc.relation.ispartof | International Conference on Cognitive Systems (CogSys) |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Representació del coneixement |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial artificial |
dc.subject.lcsh | Intelligent robots and autonomous agents |
dc.subject.lcsh | Machine learning |
dc.subject.lcsh | Planning / Artificial intelligence |
dc.title | Action rule induction from cause-effect pairs learned through robot-teacher interaction |
dc.type | Conference report |
dc.subject.lemac | Robots |
dc.subject.lemac | Sistemes de control intel·ligents |
dc.subject.lemac | Aprenentatge automàtic |
dc.subject.lemac | Planificació / Intel·ligència artificial |
dc.date.end | 2008-04-04 |
dc.date.start | 2008-04-02 |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.inspec | Classificació INSPEC::Automation::Robots::Intelligent robots |
dc.subject.inspec | Classificació INSPEC::Cybernetics::Artificial intelligence::Learning (artificial intelligence) |
dc.subject.inspec | Classificació INSPEC::Cybernetics::Artificial intelligence::Planning (artificial intelligence) |
dc.rights.access | Open Access |
local.personalitzacitacio | true |