Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/30594
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Título

Cognitive agents: a procedural perspective relying on the predictability of object-action-omplexes (OACs)

AutorWörgötter, Florentin; Krüger, Norbert; Shylo, Natalya; Porr, Ben; Agostini, Alejandro CSIC ORCID
Palabras claveCognition
Systems theory
Constructivism
Predictions
Automation
Fecha de publicación2009
EditorElsevier
CitaciónRobotics and Autonomous Systems 57(4): 420-432 (2009)
ResumenEmbodied cognition suggests that complex cognitive traits can only arise when agents have a body situated in the world. The aspects of embodiment and situatedness are being discussed here from the perspective of linear systems theory. This perspective treats bodies as dynamic, temporally variable entities, which can be extended (or curtailed) at their boundaries. We show how acting agents can, for example, actively extend their body for some time by incorporating predictably behaving parts of the world and how this affects the transfer functions. We suggest that primates have mastered this to a large degree increasingly splitting their world into predictable and unpredictable entities. We argue that temporary body extension may have been instrumental in paving the way for the development of higher cognitive complexity as it is reliably widening the cause-effect horizon about the actions of the agent. A first robot experiment is sketched to support these ideas. We continue discussing the concept of Object-Action Complexes (OACs) introduced by the European PACO-PLUS consortium to emphasize the notion that, for a cognitive agent, objects and actions are inseparably intertwined. In another robot experiment we devise a semi-supervised procedure using the OAC-concept to demonstrate how an agent can acquire knowledge about its world. Here the notion of predicting changes fundamentally underlies the implemented procedure and we try to show how this concept can be used to improve the robot’s inner model and behaviour. Hence, in this article we have tried to show how predictability can be used to augment the agent’s body and to acquire knowledge about the external world, possibly leading to more advanced cognitive traits.
Versión del editorhttp://dx.doi.org/10.1016/j.robot.2008.06.011
URIhttp://hdl.handle.net/10261/30594
DOI10.1016/j.robot.2008.06.011
ISSN0921-8890
Aparece en las colecciones: (IRII) Artículos




Ficheros en este ítem:
Fichero Descripción Tamaño Formato
Cognitive agents.pdf602,1 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo

CORE Recommender

SCOPUSTM   
Citations

56
checked on 20-abr-2024

WEB OF SCIENCETM
Citations

46
checked on 23-feb-2024

Page view(s)

302
checked on 24-abr-2024

Download(s)

275
checked on 24-abr-2024

Google ScholarTM

Check

Altmetric

Altmetric


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.