Modulation of multi-level evolutionary strategies for artificial cognition

There are several theories of cognition, each taking a different position on the nature of cognition, what a cognitive system should do, and how a cognitive system should be analyzed and synthesized. From these, it is possible to discern three broad classes: the cognitivist approach based on symboli...

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Autor Principal: Romero López, Oscar Javier; Antonio Jiménez, Angélica de
Formato: Artículo (Article)
Lenguaje:Desconocido (Unknown)
Publicado: 2009
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Acceso en línea:http://babel.banrepcultural.org/cdm/ref/collection/p17054coll23/id/744
id ir-p17054coll23-744
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spelling ir-p17054coll23-7442020-09-29 Modulation of multi-level evolutionary strategies for artificial cognition Romero López, Oscar Javier; Antonio Jiménez, Angélica de There are several theories of cognition, each taking a different position on the nature of cognition, what a cognitive system should do, and how a cognitive system should be analyzed and synthesized. From these, it is possible to discern three broad classes: the cognitivist approach based on symbolic information processing representational systems; the emergent systems approach embracing connectionist systems, dynamical systems, and enactive systems, all based on a lesser or greater extent of principles of self-organization, and the hybrid approach which combine the best of the emergent systems and cognitivist systems. Our research focuses on implementing a hybrid architecture for cognitive agents supported by both cognitivist and emergent approaches. On the one hand, the cognitivist approach provides an explicit knowledge representation through the use of symbolic AI techniques. On the other hand, the emergent approach defines three evolutionary strategies as observed in nature: Epigenesis, Ontogenesis, and Phylogenesis, endowing the architecture with implicit knowledge learning, sub-symbolic representations, and emergent behavior guided by bio-inspired computational intelligence techniques. Artificial Immune Systems; Cognitive architectures; Gene expression programming; Memetics; Neural nets Tecnología; Tecnología / Ingeniería y operaciones afines 2009 PDF Artículo ENG - Inglés Colfuturo © Derechos reservados del autor http://babel.banrepcultural.org/cdm/ref/collection/p17054coll23/id/744
institution Biblioteca Virtual Banco de la República - Colecciones digitales
collection Custom
language Desconocido (Unknown)
topic Artificial Immune Systems; Cognitive architectures; Gene expression programming; Memetics; Neural nets
Tecnología; Tecnología / Ingeniería y operaciones afines
spellingShingle Artificial Immune Systems; Cognitive architectures; Gene expression programming; Memetics; Neural nets
Tecnología; Tecnología / Ingeniería y operaciones afines
Romero López, Oscar Javier; Antonio Jiménez, Angélica de
Modulation of multi-level evolutionary strategies for artificial cognition
description There are several theories of cognition, each taking a different position on the nature of cognition, what a cognitive system should do, and how a cognitive system should be analyzed and synthesized. From these, it is possible to discern three broad classes: the cognitivist approach based on symbolic information processing representational systems; the emergent systems approach embracing connectionist systems, dynamical systems, and enactive systems, all based on a lesser or greater extent of principles of self-organization, and the hybrid approach which combine the best of the emergent systems and cognitivist systems. Our research focuses on implementing a hybrid architecture for cognitive agents supported by both cognitivist and emergent approaches. On the one hand, the cognitivist approach provides an explicit knowledge representation through the use of symbolic AI techniques. On the other hand, the emergent approach defines three evolutionary strategies as observed in nature: Epigenesis, Ontogenesis, and Phylogenesis, endowing the architecture with implicit knowledge learning, sub-symbolic representations, and emergent behavior guided by bio-inspired computational intelligence techniques.
format Artículo (Article)
author Romero López, Oscar Javier; Antonio Jiménez, Angélica de
author_facet Romero López, Oscar Javier; Antonio Jiménez, Angélica de
author_sort Romero López, Oscar Javier; Antonio Jiménez, Angélica de
title Modulation of multi-level evolutionary strategies for artificial cognition
title_short Modulation of multi-level evolutionary strategies for artificial cognition
title_full Modulation of multi-level evolutionary strategies for artificial cognition
title_fullStr Modulation of multi-level evolutionary strategies for artificial cognition
title_full_unstemmed Modulation of multi-level evolutionary strategies for artificial cognition
title_sort modulation of multi-level evolutionary strategies for artificial cognition
publishDate 2009
url http://babel.banrepcultural.org/cdm/ref/collection/p17054coll23/id/744
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score 11,489418