• DocumentCode
    2482095
  • Title

    Shaping and incentive learning: a reply to Marco Dorigo

  • Author

    Savage, Tony

  • Author_Institution
    Queen´´s Univ., Belfast, UK
  • fYear
    1998
  • fDate
    35838
  • Firstpage
    42522
  • Lastpage
    42525
  • Abstract
    The interaction of learning and motivational mechanisms lies at the heart of many organisms´ adaptive responses to a complex and changing world. Our present understanding of this interaction is far from satisfactory, in large measure due to our ignorance of how events acquire motivational significance and how these motivational factors then interact with various forms of learning. A realisation of this weakness in relation to animal psychology is reflected in recent experimental work, e.g. the influence of innate behaviour systems on learning and the renewed interest in incentive motivation. Modelling such interactions with simulated animals and environments represent another more recent means of developing performance theories of behaviour. This course of action is recognised by Dorigo and Colombetti (1997) when they refer to running an animat computer program with a specific set of parameters as an `experimental subject´. Experimental work with real animals has the virtue of biological credibility; however the simulation studies approach represents a new and significant testing ground for performance theories of behaviour
  • Keywords
    cellular automata; adaptive responses; animal psychology; animat computer program; incentive learning; incentive motivation; innate behaviour systems; motivational mechanisms; motivational significance;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Self-Learning Robots II: Bio-robotics (Digest No. 1998/248), IEE
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19980271
  • Filename
    668392