Selforganizology : the science of self-organization /

Selforganizology : the science of self-organization /

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Bibliographic Details
Author / Creator:Zhang, Wen-Jun.
Imprint:New Jersey : World Scientific, 2016.
Description:1 online resource
Language:English
Subject:
System theory.
Management.
Organizational behavior.
Management.
Organizational behavior.
System theory.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11254192
Hidden Bibliographic Details
Varying Form of Title:Self organizology
ISBN:9789814699495
9814699497
9789814699488
9814699489
Notes:Includes bibliographical references (pages 357-386) and index.
English.
Print version record.
Summary:"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."--
Other form:Print version: Zhang, Wen-Jun. Selforganizology. New Jersey : World Scientific, 2016 9789814699488 9814699489
Table of Contents:
  • Preface; Chapter 1 Organization and Organizational Theory; 1.1 Definitions; 1.1.1 Organization; 1.1.2 Organizational theory; 1.2 History of Organizational Theory; 1.3 Major Theories; 1.3.1 Classical organizational theory; 1.3.2 Neoclassical organizational theory; 1.3.3 Contemporary theories; 1.4 Prospect of Organizational Theory; 1.5 Applications of Organizational Theory; Chapter 2 Selforganizology: The Science of Self-organization; 2.1 Self-organization; 2.1.1 Theories and principles of self-organization; 2.1.1.1 Thermodynamic basis of self-organization.
  • 2.1.1.2 Principles of self-organization2.1.1.3 Major theories on self-organization; 2.1.1.4 Properties of self-organization; 2.1.2 Existing algorithms of self-organization; 2.1.2.1 Monte Carlo method; 2.1.2.2 Heuristic methods; 2.1.2.3 Meta-heuristic methods; 2.1.2.3.1 Evolution- and population-based method; 2.1.2.3.2 Physics-based method; 2.1.2.3.3 Swarm Intelligence (SI)-based method; 2.1.2.3.4 Hyper-heuristic method; 2.1.2.4 Further explanation of computation/algorithm; 2.1.3 Case examples of self-organization; 2.1.3.1 Physics; 2.1.3.2 Chemistry; 2.1.3.3 Life sciences.
  • 2.1.3.4 Self-organization in sociology2.1.3.5 Self-organization in cybernetics; 2.1.3.6 Self-organization in networks; 2.1.3.7 Self-organization in mathematics and computer science; 2.2 Selforganizology; 2.2.1 Problems for self-organization research; 2.2.2 Selforganizology: A science on self-organization; 2.2.3 Some thoughts on methodological basis of selforganizology; Chapter 3 Agent-based Modeling; 3.1 Complex Systems; 3.1.1 Properties of complex systems; 3.1.2 Modeling complex systems; 3.1.2.1 Modeling with differential equations; 3.1.2.2 Modeling with artificial neural networks.
  • 3.1.2.3 Modeling with network models3.2 Agent-based Modeling; 3.2.1 Agent and behaviors; 3.2.2 Procedures of agent-based modeling; 3.2.3 Tools and platforms for agent-based modeling; 3.2.4 NetLogo; 3.2.4.1 Network algorithms; 3.2.4.2 Computer algorithms; 3.2.4.3 Biological algorithms; 3.2.4.4 Social algorithms; 3.2.4.5 Algorithms in physics and chemistry; Chapter 4 Intelligence Principles; 4.1 State Space Search; 4.1.1 BFS (Breadth-first Search); 4.1.2 DFS (Depth-first Search); 4.1.3 Heuristic search; 4.2 First-order Logic and Inference; 4.2.1 First-order logic.
  • 4.2.2 Formalized expression of mathematical theorem4.2.3 Prenex normal form of first-order logic; 4.2.4 Skolem standard form and clause; 4.2.5 Resolution principle of first-order logic; Chapter 5 Catastrophe Theory and Methods; 5.1 Dynamic Systems and Catastrophe Phenomenon; 5.2 Local Properties of the Potential Function; 5.2.1 Representation of the potential function; 5.2.2 Topological space; 5.3 Structural Stability; 5.3.1 Stability of potential function; 5.3.2 Dissection lemma; 5.3.3 Singularity and equilibrium surface; 5.4 Basic Types of Catastrophe; 5.4.1 Folding catastrophe.

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