• DocumentCode
    2698903
  • Title

    Information in a dynamic theory of behavioral patterns

  • Author

    Schöner, Gregor

  • fYear
    1990
  • fDate
    17-21 June 1990
  • Firstpage
    639
  • Abstract
    The question of how behavioral patterns are flexibly adjusted to perceived environmental influences during learning or by intention is addressed from a theoretical perspective in which behavioral patterns are governed by collective variables and their dynamics. Due to the central concept of temporal stability, dynamic theories of behavior patterns give rise to a number of predictions and can therefore be subjected to experimental test. The concept of behavioral information provides a succinct encoding of behavioral requirements in terms of collective variables. A general prediction is that behavioral requirements act on the dynamic properties of behavioral patterns and may lead to loss of stability and discontinuous pattern change as the requirement is changed gradually. The influence of intrinsic dynamics can be observed as the systematic deviation from required patterns in the direction of intrinsically stable patterns. The author discusses how the concept of behavioral information can be used to express the cooperation or competition of different behavioral requirements
  • Keywords
    behavioural sciences; cognitive systems; learning systems; neural nets; stability; behavioral patterns; behavioral requirements; collective variables; competition; cooperation; discontinuous pattern change; dynamic theory; encoding; intention; intrinsically stable patterns; learning; perceived environmental influences; stability; temporal stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1990., 1990 IJCNN International Joint Conference on
  • Conference_Location
    San Diego, CA, USA
  • Type

    conf

  • DOI
    10.1109/IJCNN.1990.137908
  • Filename
    5726866