Selforganizology: The Science Of Self-organization

Selforganizology: The Science Of Self-organization

by Wenjun Zhang
ISBN-10:
9814699489
ISBN-13:
9789814699488
Pub. Date:
01/28/2016
Publisher:
World Scientific Publishing Company, Incorporated
ISBN-10:
9814699489
ISBN-13:
9789814699488
Pub. Date:
01/28/2016
Publisher:
World Scientific Publishing Company, Incorporated
Selforganizology: The Science Of Self-organization

Selforganizology: The Science Of Self-organization

by Wenjun Zhang
$154.0
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Overview

This invaluable book is the first of its kind on 'selforganizology', the science of self-organization. It covers a wide range of topics, such as the theory, principle and methodology of selforganizology, agent-based modelling, intelligence basis, ant colony optimization, fish/particle swarm optimization, cellular automata, spatial diffusion models, evolutionary algorithms, self-adaptation and control systems, self-organizing neural networks, catastrophe theory and methods, and self-organization of biological communities, etc.Readers will have an in-depth and comprehensive understanding of selforganizology, with detailed background information provided for those who wish to delve deeper into the subject and explore research literature.This book is a valuable reference for research scientists, university teachers, graduate students and high-level undergraduates in the areas of computational science, artificial intelligence, applied mathematics, engineering science, social science and life sciences.

Product Details

ISBN-13: 9789814699488
Publisher: World Scientific Publishing Company, Incorporated
Publication date: 01/28/2016
Pages: 404
Product dimensions: 6.20(w) x 9.10(h) x 1.00(d)

Table of Contents

Preface vii

Chapter 1 Organization and Organizational Theory 1

Chapter 2 Selforganizology: The Science of Self-organization 13

Chapter 3 Agent-based Modeling 47

Chapter 4 Intelligence Principles 71

Chapter 5 Catastrophe Theory and Methods 83

Chapter 6 Self-adaptation and Control Systems 97

Chapter 7 Cellular Automata and Spatial Diffusion Models 137

Chapter 8 Artificial Neural Networks 159

Chapter 9 Ant Colony Optimization 187

Chapter 10 Fish and Particle Swarm Optimization 209

Chapter 11 Synergy, Coevolution, and Evolutionary Algorithms 217

Chapter 12 Synergy: Correlation Analysis 233

Chapter 13 Community Succession and Assembly 253

Chapter 14 Mathematical Foundations 297

References 357

Index 387

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