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Predictive Regulation in Affective and Adaptive Behaviour: An Allostatic-Cybernetics Perspective
University of Gothenburg, Sweden.
University of Gothenburg, Sweden.ORCID iD: 0000-0001-9881-400X
University of Skövde, Sweden.
2017 (English)In: Advanced Research on Biologically Inspired Cognitive Architectures / [ed] Jordi Vallverdu, Manuel Mazzara, Max Talanov, Salvatore Distefano, Robert Lowe, Sweden: IGI , 2017, p. 148-176Chapter in book (Other academic)
Abstract [en]

In this chapter, different notions of allostasis (the process of achieving stability through change) as they apply to adaptive behavior are presented. The authors discuss how notions of allostasis can be usefully applied to Cybernetics-based homeostatic systems. Particular emphasis is placed upon affective states – motivational and emotional – and, above all, the notion of 'predictive' regulation, as distinct from forms of 'reactive' regulation, in homeostatic systems. The authors focus here on Ashby's ultrastability concept that entails behavior change for correcting homeostatic errors (deviations from the healthy range of essential, physiological, variables). The authors consider how the ultrastability concept can be broadened to incorporate allostatic mechanisms and how they may enhance adaptive physiological and behavioral activity. Finally, this chapter references different (Cybernetics-based) theoretical frameworks that incorporate the notion of allostasis. The article then attempts to untangle how the given perspectives fit into the 'allostatic ultrastable systems' framework postulated by the authors. Predictive Regulation in Affective and Adaptive Behaviour: An Allostatic-Cybernetics Perspective (PDF Download Available). Available from: https://www.researchgate.net/publication/311112080_Predictive_Regulation_in_Affective_and_Adaptive_Behaviour_An_Allostatic-Cybernetics_Perspective [accessed Nov 17 2017].

Place, publisher, year, edition, pages
Sweden: IGI , 2017. p. 148-176
National Category
Engineering and Technology Other Social Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-37497DOI: 10.4018/978-1-5225-1947-8Scopus ID: 2-s2.0-85027510045ISBN: 1522519475 OAI: oai:DiVA.org:mdh-37497DiVA, id: diva2:1167747
Projects
PICO - Philosophy of Information and Computing
Available from: 2017-12-19 Created: 2017-12-19 Last updated: 2017-12-19Bibliographically approved

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Dodig-Crnkovic, Gordana

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CiteExportLink to record
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