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
Link To Document