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Elements of a cybernetic epistemology: preprogrammed adaptive systems

Elements of a cybernetic epistemology: preprogrammed adaptive systems Purpose – The purpose of this paper is to investigate different cybernetic structures of simple adaptive systems and their cognitive and behavioral options. Design/methodology/approach – Using a functional approach, two basic forms of adaptive systems are constructed, which process data on one level respectively two hierarchical levels. Based on that complex combinations of such one‐level and hierarchical structures are investigated. Findings – It is shown how different cybernetic structures enable simple forms of adaptive behavior. A basic blueprint for the controller structure of animal species is derived from them, with a simple “brain” and a unit for “motion control” as subsystems. Four paths of evolutionary growth are identified that allow a widely independent development of these subsystems. Practical implications – The paper provides a typology of simple adaptive systems and discusses the forms of behavior they can develop with preprogrammed – i.e. evolutionary given or technically programmed – decision‐rules. It discusses the requirements that these decision‐rules can form models enabling adaptive behavior. It is suggested that these requirements hold for the models of more complex adaptive systems, too. Originality/value – This paper is the first in a series of three on a cybernetic theory distinguishing systems able of preprogrammed adaptation, system‐specific adaptation, and learning. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Kybernetes Emerald Publishing

Elements of a cybernetic epistemology: preprogrammed adaptive systems

Kybernetes , Volume 39 (1): 17 – Mar 16, 2010

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Publisher
Emerald Publishing
Copyright
Copyright © 2010 Emerald Group Publishing Limited. All rights reserved.
ISSN
0368-492X
DOI
10.1108/03684921011021273
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to investigate different cybernetic structures of simple adaptive systems and their cognitive and behavioral options. Design/methodology/approach – Using a functional approach, two basic forms of adaptive systems are constructed, which process data on one level respectively two hierarchical levels. Based on that complex combinations of such one‐level and hierarchical structures are investigated. Findings – It is shown how different cybernetic structures enable simple forms of adaptive behavior. A basic blueprint for the controller structure of animal species is derived from them, with a simple “brain” and a unit for “motion control” as subsystems. Four paths of evolutionary growth are identified that allow a widely independent development of these subsystems. Practical implications – The paper provides a typology of simple adaptive systems and discusses the forms of behavior they can develop with preprogrammed – i.e. evolutionary given or technically programmed – decision‐rules. It discusses the requirements that these decision‐rules can form models enabling adaptive behavior. It is suggested that these requirements hold for the models of more complex adaptive systems, too. Originality/value – This paper is the first in a series of three on a cybernetic theory distinguishing systems able of preprogrammed adaptation, system‐specific adaptation, and learning.

Journal

KybernetesEmerald Publishing

Published: Mar 16, 2010

Keywords: Adaptive system theory; Cybernetics; Epistemology

References

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