Object-action complexes: grounded abstractions of sensory-motor processes

This 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, pro...

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Detalles Bibliográficos
Autores: Krüger, Norbert, Geib, Cristopher, Piater, Justus, Petrick, Ronald, Steedman, Mark, Wörgötter, Florentin, Ude, Ales, Asfour, Tamim, Kraft, Dirk, Omrcen, Damir, Agostini, Alejandro Gabriel, Dillmann, Rudiger
Tipo de recurso: artículo
Fecha de publicación:2011
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/15586
Acceso en línea:https://hdl.handle.net/2117/15586
https://dx.doi.org/10.1016/j.robot.2011.05.009
Access Level:acceso abierto
Palabra clave:Machine learning
grounding
reasoning about action and change
execution monitoring
machine learning
Aprenentatge automàtic
Classificació INSPEC::Cybernetics::Artificial intelligence::Learning (artificial intelligence)
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
Descripción
Sumario:This 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.

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