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Robotics and Autonomous Systems
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Robotics and Autonomous Systems
Article . 2011 . Peer-reviewed
License: Elsevier TDM
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Article . 2022
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Object–Action Complexes: Grounded abstractions of sensory–motor processes

Authors: Norbert Krüger; Christopher W. Geib; Justus H. Piater; Ronald P. A. Petrick; Mark Steedman; Florentin Wörgötter; Ales Ude; +5 Authors

Object–Action Complexes: Grounded abstractions of sensory–motor processes

Abstract

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.

Countries
Austria, Denmark, Spain, Spain, Germany
Keywords

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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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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128
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91
213
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