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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 | 2013-01-17T18:05:54Z |
dc.date.available | 2013-01-17T18:05:54Z |
dc.date.created | 2008 |
dc.date.issued | 2008 |
dc.identifier.citation | Agostini, 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.uri | http://hdl.handle.net/2117/17411 |
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 | 6 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
dc.subject.lcsh | Artificial intelligence |
dc.subject.other | intelligent robots learning (artificial intelligence) planning (artificial intelligence) |
dc.title | Action rule induction from cause-effect pairs learned through robot-teacher interaction |
dc.type | Conference report |
dc.subject.lemac | Intel·ligència artificial |
dc.contributor.group | Universitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI |
dc.contributor.group | Universitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel·ligents |
dc.subject.inspec | Classificació INSPEC::Cybernetics::Artificial intelligence |
dc.relation.publisherversion | http://www.cogsys2008.org/ |
dc.rights.access | Open Access |
local.identifier.drac | 9877032 |
dc.description.version | Postprint (published version) |
local.citation.author | Agostini, A.G.; Celaya, E.; Torras, C.; Wörgötter , F. |
local.citation.contributor | International Conference on Cognitive Systems |
local.citation.pubplace | Karlsruhe |
local.citation.publicationName | Proceedings of 2008 International Conference on Cognitive Systems |
local.citation.startingPage | 213 |
local.citation.endingPage | 218 |