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Item Details
Title: CNN: A PARADIGM FOR COMPLEXITY
By: Leon O. Chua
Format: Hardback

List price: £151.00
Our price: £135.90
Discount:
10% off
You save: £15.10
ISBN 10: 981023483X
ISBN 13: 9789810234836
Availability: Reprinting. This item may be subject to delays or cancellation.
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Publisher: WORLD SCIENTIFIC PUBLISHING CO PTE LTD
Pub. date: 17 June, 1998
Series: World Scientific Series on Nonlinear Science Series A 31
Pages: 332
Description: This treatise presents a paradigm of emergence and complexity, with applications drawn from a number of disciplines, including artificial life, biology, chemistry, computation, physics, image processing and information science.
Synopsis: Revolutionary and original, this treatise presents a new paradigm of EMERGENCE and COMPLEXITY, with applications drawn from numerous disciplines, including artificial life, biology, chemistry, computation, physics, image processing, information science, etc.CNN is an acronym for Cellular Neural Networks when used in the context of brain science, or Cellular Nonlinear Networks, when used in the context of emergence and complexity. A CNN is modeled by cells and interactions: cells are defined as dynamical systems and interactions are defined via coupling laws. The CNN paradigm is a universal Turing machine and includes cellular automata and lattice dynamical systems as special cases.While the CNN paradigm is an example of REDUCTIONISM par excellence, the true origin of emergence and complexity is traced to a much deeper new concept called local activity. The numerous complex phenomena unified under this mathematically precise principle include self organization, dissipative structures, synergetics, order from disorder, far-from-thermodynamic equilibrium, collective behaviors, edge of chaos, etc.Written with a high level of exposition, this completely self-contained monograph is profusely illustrated with over 200 stunning color illustrations of emergent phenomena.
Publication: Singapore
Imprint: World Scientific Publishing Co Pte Ltd
Returns: Returnable
Some other items by this author:
CELLULAR NEURAL NETWORKS AND ANALOG VLSI (HB)
CELLULAR NEURAL NETWORKS AND ANALOG VLSI (PB)
CELLULAR NEURAL NETWORKS AND VISUAL COMPUTING
CELLULAR NEURAL NETWORKS AND VISUAL COMPUTING (HB)
CELLULAR NEURAL NETWORKS AND VISUAL COMPUTING (PB)
CELLULAR NEURAL NETWORKS AND VISUAL COMPUTING SOUTH ASIA EDITION (PB)
DISCRETELY-COUPLED DYNAMICAL SYSTEMS - PROCEEDINGS OF THE WORKSHOP (HB)
FIELD-PROGRAMMABLE ANALOG ARRAYS (HB)
FIELD-PROGRAMMABLE ANALOG ARRAYS (PB)
LINEAR AND NON-LINEAR CIRCUITS (HB)
LOCAL ACTIVITY PRINCIPLE: THE CAUSE OF COMPLEXITY AND SYMMETRY BREAKING (HB)
MEMRISTOR NETWORKS (HB)
MEMRISTOR NETWORKS (PB)
METHODS OF QUALITATIVE THEORY IN NONLINEAR DYNAMICS (PART I) (HB)
NONLINEAR CIRCUITS AND SYSTEMS WITH MEMRISTORS
NONLINEAR CIRCUITS AND SYSTEMS WITH MEMRISTORS (HB)
NONLINEAR DYNAMICS PERSPECTIVE OF WOLFRAM'S NEW KIND OF SCIENCE, A (IN 2 VOLUMES) (HB)
NONLINEAR DYNAMICS PERSPECTIVE OF WOLFRAM'S NEW KIND OF SCIENCE, A (VOLUME I) (HB)
NONLINEAR DYNAMICS PERSPECTIVE OF WOLFRAM'S NEW KIND OF SCIENCE, A (VOLUME II) (HB)
NONLINEAR DYNAMICS PERSPECTIVE OF WOLFRAM'S NEW KIND OF SCIENCE, A (VOLUME III) (HB)
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NONLINEAR DYNAMICS PERSPECTIVE OF WOLFRAM'S NEW KIND OF SCIENCE, A (VOLUME VI) (HB)
PRACTICAL NUMERICAL ALGORITHMS FOR CHAOTIC SYSTEMS (PB)
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