Stability and instability in autonomous systems

Abstract

Behaving systems, biological as well as artificial, need to respond quickly and accurately to changes in the environment. The response is dependent on stored memories, and novel situations should be learnt for the guidance of future behavior. A highly nonlinear system dynamics is required in order to cope with a complex and changing environment, and this dynamics should be regulated to match the demands of the current situation, and to predict future behavior. If any of these regulatory systems fail, the balance beween order and disorder can be shifted, resulting in an inappropriate and unpredictable behaviour. I discuss how such “mental disorders” might be related to the structure and dynamics of any autonomous cognitive system

Keywords

Efficiency; stability-flexibility dilemma; information processing; complex neurodynamics; cognitive disorders; robots

Published in

Title: Advances in Cognitive Neurodynamics
Publisher: Springer

Conference

International Conference on Cognitive Neurodynamics

SLU Authors

• Liljenström, Hans

  • Department of Energy and Technology, Swedish University of Agricultural Sciences
    

Publication identifier

• ISBN: 9781402083860

Permanent link to this page (URI)

https://res.slu.se/id/publ/24095