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Stability and Instability in Autonomous Systems

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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.

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References

  1. Goldman-Rakic, P.S.: Prefrontal Cortical Dysfunction in Schizophrenia: the Relevance of Working Memory. In: Carrol, B.J., Barrets, J.E. (eds.): Psychology and the Brain. Raven Press, New York (1991).

    Google Scholar 

  2. Saugstad, L.F.: The Maturational Theory of Brain Development and Cerebral Excitability in the Multifactorially Inherited Manic-depressive Psychosis and Schizophrenia. Int. J. Psychophysiol. 18 (1994) 189–203.

    Article  PubMed  CAS  Google Scholar 

  3. Cotterill, R.M.J.: Enchanted Looms – Conscious Networks in Brains and Computers. Cambridge University Press, Cambridge (1998).

    Google Scholar 

  4. Liljenström, H.: Cognition and the Efficiency of Neural Systems. In: Århem, P., Liljenström, H., Svedin, U. (eds.): Matter Matters? On the Material Basis of the Cognitive Activity of Mind. Springer, Heidelberg (1997) 177–213.

    Google Scholar 

  5. Liljenström, H.: Autonomous Learning With Complex Dynamics. Int. J. Intell. Syst. 10 (1995) 119–153.

    Article  Google Scholar 

  6. Liljenström, H.: Neural Stability and Flexibility – A Computational Approach. J. Neuropsychopharmacol. 28 (2003) S64–S73.

    Article  Google Scholar 

  7. Cotterill, R. M. J.: An Inside-Out Paradigm for Consciousness and Intelligence. In: Liljenström, H., Århem, P. (eds.): Consciousness Transitions – Phylogenetic, Ontogenetic, and Physiological Aspects. Elsevier, Amsterdam (2007) 177–191.

    Google Scholar 

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© 2008 Springer-Verlag Berlin Heidelberg

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Liljenström, H. (2008). Stability and Instability in Autonomous Systems. In: Wang, R., Shen, E., Gu, F. (eds) Advances in Cognitive Neurodynamics ICCN 2007. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8387-7_114

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