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160327s2016 nju ob 001 0 eng d |
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|a 2015026523
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|a 931011257
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|a 958391825
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|a 9789814699495
|q (electronic bk.)
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|a 9814699497
|q (electronic bk.)
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|z 9789814699488
|q (hardcover ;
|q alk. paper)
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|z 9814699489
|q (hardcover ;
|q alk. paper)
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|a (OCoLC)945758124
|z (OCoLC)931011257
|z (OCoLC)941700401
|z (OCoLC)958391825
|z (OCoLC)1162055686
|z (OCoLC)1206232859
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|a CN3GA
|b eng
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|c CN3GA
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|a MAIN
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|a Q295
|b .Z43 2016
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|a SCI
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|2 bisacsh
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|a TEC
|x 029000
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|a PBKD.
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|a PD.
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|a PSAJ.
|2 thema
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|a Zhang, Wen-Jun.
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|a Selforganizology :
|b the science of self-organization /
|c WenJun Zhang, Sun Yat-Sen University, China.
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|a Self organizology
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264 |
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1 |
|a New Jersey :
|b World Scientific,
|c 2016.
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300 |
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|a 1 online resource
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Includes bibliographical references (pages 357-386) and index.
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588 |
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|a Print version record.
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|a 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.
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|a 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.
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|a 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.
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|a 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.
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|a 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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|a "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."--
|c Provided by publisher.
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546 |
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|a English.
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650 |
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0 |
|a System theory.
|0 http://id.loc.gov/authorities/subjects/sh85131743
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|a Management.
|0 http://id.loc.gov/authorities/subjects/sh85080336
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650 |
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|a Organizational behavior.
|0 http://id.loc.gov/authorities/subjects/sh85095524
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650 |
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7 |
|a SCIENCE
|x System Theory.
|2 bisacsh
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650 |
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7 |
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|2 bisacsh
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|a Management.
|2 fast
|0 (OCoLC)fst01007141
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650 |
|
7 |
|a Organizational behavior.
|2 fast
|0 (OCoLC)fst01047801
|
650 |
|
7 |
|a System theory.
|2 fast
|0 (OCoLC)fst01141423
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650 |
|
7 |
|a Complex analysis, complex variables.
|2 thema
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650 |
|
7 |
|a Evolution.
|2 thema
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|a Science: general issues.
|2 thema
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655 |
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|a Electronic books.
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655 |
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|a Electronic books.
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776 |
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|i Print version:
|a Zhang, Wen-Jun.
|t Selforganizology.
|d New Jersey : World Scientific, 2016
|z 9789814699488
|z 9814699489
|w (DLC) 2015026523
|
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|t Library of Congress classification
|a Q295 .Z43 2016
|l Online
|c UC-FullText
|u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=e000xna&AN=1105703
|z eBooks on EBSCOhost
|g ebooks
|i 12436048
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