• DocumentCode
    2306999
  • Title

    Neuro-cognitive organization as a side-effect of the evolution of learning ability

  • Author

    Arnold, S.F.

  • Author_Institution
    Dept. of Complex Syst. Sci., Nagoya Univ., Nagoya, Japan
  • fYear
    2011
  • fDate
    11-15 April 2011
  • Firstpage
    100
  • Lastpage
    107
  • Abstract
    This research explores the relation between environmental organization and cognitive organization. We hypothesize that selection pressure on learning ability indirectly causes selection pressure on alignment of neuro-cognitive and environmental structure, since such alignment implies that small changes in the environment can be handled with small changes in the implementation of behaviour. We indicate reinforcement-free types of learning ability as most strongly reliant on such alignment. We present a model in which a simple form of reinforcement-free learning is evolved in neural networks, and analyze the effect this has on the virtual species´ neural organization. We find a higher degree of organization than in a control population without learning ability, and discuss the relation between the observed neural structure and the environmental structure. We discuss our findings in the context of the environmental complexity thesis and the Baldwin effect.
  • Keywords
    cognition; cognitive systems; learning (artificial intelligence); neural nets; Baldwin effect; cognitive organization; environmental complexity; environmental organization; learning ability evolution; neural networks; neurocognitive organization; reinforcement-free learning; virtual species; Artificial neural networks; Evolution (biology); Learning systems; Machine learning; Neurons; Organisms; Organizations; Baldwin effect; Evolution of learning ability; environmental complexity thesis; evolution of mind; neuromodulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Life (ALIFE), 2011 IEEE Symposium on
  • Conference_Location
    Paris
  • ISSN
    2160-6374
  • Print_ISBN
    978-1-61284-062-8
  • Type

    conf

  • DOI
    10.1109/ALIFE.2011.5954646
  • Filename
    5954646