Modulation of multi-level evolutionary strategies for artificial cognition

Registro bibliográfico

  • Título: Modulation of multi-level evolutionary strategies for artificial cognition
  • Autor: Romero López, Oscar Javier; Antonio Jiménez, Angélica de
  • Publicación original: 2009
  • Descripción física: PDF
  • Nota general:
    • 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.
  • Notas de reproducción original: Digitalización realizada por la Biblioteca Virtual del Banco de la República (Colombia)
  • Notas:
    • Resumen: Artificial Immune Systems; Cognitive architectures; Gene expression programming; Memetics; Neural nets
    • © Derechos reservados del autor
    • Colfuturo
  • Forma/género: texto
  • Idioma: inglés
  • Institución origen: Biblioteca Virtual del Banco de la República
  • Encabezamiento de materia:

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