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handle: 2117/15586 , 10261/96854
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.
ddc:004, :Informàtica::Intel·ligència artificial::Aprenentatge automàtic [Àrees temàtiques de la UPC], DATA processing & computer science, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic, Classificació INSPEC::Cybernetics::Artificial intelligence::Learning (artificial intelligence), Robotics, grounding, reasoning about action and change, 004, Reasoning about action and change, machine learning, Machine learning, Aprenentatge automàtic, execution monitoring, :Cybernetics::Artificial intelligence::Learning (artificial intelligence) [Classificació INSPEC], Execution monitoring, info:eu-repo/classification/ddc/004, Grounding
ddc:004, :Informàtica::Intel·ligència artificial::Aprenentatge automàtic [Àrees temàtiques de la UPC], DATA processing & computer science, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic, Classificació INSPEC::Cybernetics::Artificial intelligence::Learning (artificial intelligence), Robotics, grounding, reasoning about action and change, 004, Reasoning about action and change, machine learning, Machine learning, Aprenentatge automàtic, execution monitoring, :Cybernetics::Artificial intelligence::Learning (artificial intelligence) [Classificació INSPEC], Execution monitoring, info:eu-repo/classification/ddc/004, Grounding
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