Cargando…

Temporal Cognition: A Key Ingredient of Intelligent Systems

Experiencing the flow of time is an important capacity of biological systems that is involved in many ways in the daily activities of humans and animals. However, in the field of robotics, the key role of time in cognition is not adequately considered in contemporary research, with artificial agents...

Descripción completa

Detalles Bibliográficos
Autores principales: Maniadakis, Michail, Trahanias, Panos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3175600/
https://www.ncbi.nlm.nih.gov/pubmed/21954384
http://dx.doi.org/10.3389/fnbot.2011.00002
_version_ 1782212165526093824
author Maniadakis, Michail
Trahanias, Panos
author_facet Maniadakis, Michail
Trahanias, Panos
author_sort Maniadakis, Michail
collection PubMed
description Experiencing the flow of time is an important capacity of biological systems that is involved in many ways in the daily activities of humans and animals. However, in the field of robotics, the key role of time in cognition is not adequately considered in contemporary research, with artificial agents focusing mainly on the spatial extent of sensory information, almost always neglecting its temporal dimension. This fact significantly obstructs the development of high-level robotic cognitive skills, as well as the autonomous and seamless operation of artificial agents in human environments. Taking inspiration from biological cognition, the present work puts forward time perception as a vital capacity of artificial intelligent systems and contemplates the research path for incorporating temporal cognition in the repertoire of robotic skills.
format Online
Article
Text
id pubmed-3175600
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher Frontiers Research Foundation
record_format MEDLINE/PubMed
spelling pubmed-31756002011-09-27 Temporal Cognition: A Key Ingredient of Intelligent Systems Maniadakis, Michail Trahanias, Panos Front Neurorobot Neuroscience Experiencing the flow of time is an important capacity of biological systems that is involved in many ways in the daily activities of humans and animals. However, in the field of robotics, the key role of time in cognition is not adequately considered in contemporary research, with artificial agents focusing mainly on the spatial extent of sensory information, almost always neglecting its temporal dimension. This fact significantly obstructs the development of high-level robotic cognitive skills, as well as the autonomous and seamless operation of artificial agents in human environments. Taking inspiration from biological cognition, the present work puts forward time perception as a vital capacity of artificial intelligent systems and contemplates the research path for incorporating temporal cognition in the repertoire of robotic skills. Frontiers Research Foundation 2011-09-19 /pmc/articles/PMC3175600/ /pubmed/21954384 http://dx.doi.org/10.3389/fnbot.2011.00002 Text en Copyright © 2011 Maniadakis and Trahanias. http://www.frontiersin.org/licenseagreement This is an open-access article subject to a non-exclusive license between the authors and Frontiers Media SA, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and other Frontiers conditions are complied with.
spellingShingle Neuroscience
Maniadakis, Michail
Trahanias, Panos
Temporal Cognition: A Key Ingredient of Intelligent Systems
title Temporal Cognition: A Key Ingredient of Intelligent Systems
title_full Temporal Cognition: A Key Ingredient of Intelligent Systems
title_fullStr Temporal Cognition: A Key Ingredient of Intelligent Systems
title_full_unstemmed Temporal Cognition: A Key Ingredient of Intelligent Systems
title_short Temporal Cognition: A Key Ingredient of Intelligent Systems
title_sort temporal cognition: a key ingredient of intelligent systems
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3175600/
https://www.ncbi.nlm.nih.gov/pubmed/21954384
http://dx.doi.org/10.3389/fnbot.2011.00002
work_keys_str_mv AT maniadakismichail temporalcognitionakeyingredientofintelligentsystems
AT trahaniaspanos temporalcognitionakeyingredientofintelligentsystems