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Systems, Self-Organisation and Information : An Interdisciplinary Perspective

By: (Edited by) Pereira Junior Alfredo , (Edited by) Ricardo Gudwin , (Edited by) William Pickering

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Ksh 8,650.00

Format: Paperback / Softback

ISBN-10: 1138609935

ISBN-13: 9781138609938

Publisher: Taylor & Francis Ltd

Imprint: Routledge

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Oct 11th, 2018

Print length: 238 Pages

Weight: 386 grams

Dimensions (height x width x thickness): 15.60 x 23.20 x 2.00 cms

Product Classification: Cybernetics & systems theory

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Systems, Self-Organisation and Information presents ground-breaking research in complex systems theory. Building upon foundational concepts, the volume introduces a theory of self-organization, providing definitions of concepts including system, structure, organization, functionality, and boundary

Complex system studies are a growing area of central importance to a wide range of disciplines, ranging from physics to politics and beyond. Adopting this interdisciplinary approach, Systems, Self-Organisation and Information presents and discusses a range of ground-breaking research in complex systems theory.

Building upon foundational concepts, the volume introduces a theory of Self-Organization, providing definitions of concepts including system, structure, organization, functionality, and boundary. Biophysical and cognitive approaches to Self-Organization are also covered, discussing the complex dynamics of living beings and the brain, and self-organized adaptation and learning in computational systems. The convergence of Peircean philosophy with the study of Self-Organization also provides an original pathway of research, which contributes to a dialogue between pragmatism, semeiotics, complexity theory, and self-organizing systems.

As one of the few interdisciplinary works on systems theory, relating Self-Organization and Information Theory, Systems, Self-Organisation and Information is an invaluable resource for researchers and postgraduate students interested in complex systems theory from related disciplines including philosophy, physics, and engineering.


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