Self-Modifying Systems in Biology and Cognitive Science : A New Framework for Dynamics, Information and Complexity

George Kampis

ISBN 10: 0080369790 / ISBN 13: 9780080369792

Published by Elsevier BV Apr 1991, 1991

About this Item

Neuware - The theme of this book is the self-generation of information by the self-modification of systems. The author explains why biological and cognitive processes exhibit identity changes in the mathematical and logical sense. This concept is the basis of a new organizational principle which utilizes shifts of the internal semantic relations in systems. There are mathematical discussions of various classes of systems (Turing machines, input-output systems, synergetic systems, non-linear dynamics etc), which are contrasted with the author's new principle. The most important implications of this include a new conception on the nature of information and which also provides a new and coherent conceptual view of a wide class of natural systems. This book merits the attention of all philosophers and scientists concerned with the way we create reality in our mathematical representations of the world and the connection those representations have with the way things really are.

Seller Inventory # 9780080369792

Bibliographic Details

• Title: Self-Modifying Systems in Biology and Cognitive Science : A New Framework for Dynamics, Information and Complexity
• Publisher: Elsevier BV Apr 1991
• Publication Date: 1991
• Language: English
• ISBN 10: 0080369790
• ISBN 13: 9780080369792
• Binding: Buch
• Condition: Neu
• Dimensions: 234W x 156H x 32D millimeters 234 millimeters width by 156 millimeters height by 32 millimeters depth
• Weight: 963 grams

About this title

Synopsis

The theme of this book is the self-generation of information by the self-modification of systems. The author explains why biological and cognitive processes exhibit identity changes in the mathematical and logical sense. This concept is the basis of a new organizational principle which utilizes shifts of the internal semantic relations in systems. There are mathematical discussions of various classes of systems (Turing machines, input-output systems, synergetic systems, non-linear dynamics etc), which are contrasted with the author's new principle. The most important implications of this include a new conception on the nature of information and which also provides a new and coherent conceptual view of a wide class of natural systems. This book merits the attention of all philosophers and scientists concerned with the way we create reality in our mathematical representations of the world and the connection those representations have with the way things really are.

Review

Allan Combs
...a landmark contribution to the theory of evolutionary systems...essential reading
World Futures Vol 33