Selforganizology :: the science of self-organization /
"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/particl...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New Jersey :
World Scientific,
2016.
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| 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."-- |
| Physical Description: | 1 online resource |
| Bibliography: | Includes bibliographical references (pages 357-386) and index. |
| ISBN: | 9789814699495 9814699497 |
Staff View
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| 100 | 1 | |a Zhang, Wen-Jun. | |
| 245 | 1 | 0 | |a Selforganizology : |b the science of self-organization / |c WenJun Zhang, Sun Yat-Sen University, China. |
| 246 | 3 | |a Self organizology | |
| 264 | 1 | |a New Jersey : |b World Scientific, |c 2016. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 504 | |a Includes bibliographical references (pages 357-386) and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |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. | |
| 505 | 8 | |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. | |
| 505 | 8 | |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. | |
| 505 | 8 | |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. | |
| 505 | 8 | |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. | |
| 520 | |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 | ||
| 546 | |a English. | ||
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| 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. |
| ctrlnum | (OCoLC)945758124 |
| dewey-full | 003 |
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| dewey-ones | 003 - Systems |
| dewey-raw | 003 |
| dewey-search | 003 |
| dewey-sort | 13 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="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 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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.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"This invaluable book is the first of its kind on "selforganizology", the science of self-organization. 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| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:27:56Z |
| institution | BVB |
| isbn | 9789814699495 9814699497 |
| language | English |
| oclc_num | 945758124 |
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| spelling | Zhang, Wen-Jun. Selforganizology : the science of self-organization / WenJun Zhang, Sun Yat-Sen University, China. Self organizology New Jersey : World Scientific, 2016. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references (pages 357-386) and index. Print version record. 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. "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."-- Provided by publisher English. System theory. http://id.loc.gov/authorities/subjects/sh85131743 Management. http://id.loc.gov/authorities/subjects/sh85080336 Organizational behavior. http://id.loc.gov/authorities/subjects/sh85095524 Systems Theory https://id.nlm.nih.gov/mesh/D013598 Théorie des systèmes. Gestion. Comportement organisationnel. management. aat SCIENCE System Theory. bisacsh TECHNOLOGY & ENGINEERING Operations Research. bisacsh Management fast Organizational behavior fast System theory fast Complex analysis, complex variables. thema Evolution. thema Science: general issues. thema Print version: Zhang, Wen-Jun. Selforganizology. New Jersey : World Scientific, 2016 9789814699488 9814699489 (DLC) 2015026523 |
| spellingShingle | Zhang, Wen-Jun Selforganizology : the science of self-organization / 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. System theory. http://id.loc.gov/authorities/subjects/sh85131743 Management. http://id.loc.gov/authorities/subjects/sh85080336 Organizational behavior. http://id.loc.gov/authorities/subjects/sh85095524 Systems Theory https://id.nlm.nih.gov/mesh/D013598 Théorie des systèmes. Gestion. Comportement organisationnel. management. aat SCIENCE System Theory. bisacsh TECHNOLOGY & ENGINEERING Operations Research. bisacsh Management fast Organizational behavior fast System theory fast Complex analysis, complex variables. thema Evolution. thema Science: general issues. thema |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85131743 http://id.loc.gov/authorities/subjects/sh85080336 http://id.loc.gov/authorities/subjects/sh85095524 https://id.nlm.nih.gov/mesh/D013598 |
| title | Selforganizology : the science of self-organization / |
| title_alt | Self organizology |
| title_auth | Selforganizology : the science of self-organization / |
| title_exact_search | Selforganizology : the science of self-organization / |
| title_full | Selforganizology : the science of self-organization / WenJun Zhang, Sun Yat-Sen University, China. |
| title_fullStr | Selforganizology : the science of self-organization / WenJun Zhang, Sun Yat-Sen University, China. |
| title_full_unstemmed | Selforganizology : the science of self-organization / WenJun Zhang, Sun Yat-Sen University, China. |
| title_short | Selforganizology : |
| title_sort | selforganizology the science of self organization |
| title_sub | the science of self-organization / |
| topic | System theory. http://id.loc.gov/authorities/subjects/sh85131743 Management. http://id.loc.gov/authorities/subjects/sh85080336 Organizational behavior. http://id.loc.gov/authorities/subjects/sh85095524 Systems Theory https://id.nlm.nih.gov/mesh/D013598 Théorie des systèmes. Gestion. Comportement organisationnel. management. aat SCIENCE System Theory. bisacsh TECHNOLOGY & ENGINEERING Operations Research. bisacsh Management fast Organizational behavior fast System theory fast Complex analysis, complex variables. thema Evolution. thema Science: general issues. thema |
| topic_facet | System theory. Management. Organizational behavior. Systems Theory Théorie des systèmes. Gestion. Comportement organisationnel. management. SCIENCE System Theory. TECHNOLOGY & ENGINEERING Operations Research. Management Organizational behavior System theory Complex analysis, complex variables. Evolution. Science: general issues. |
| work_keys_str_mv | AT zhangwenjun selforganizologythescienceofselforganization AT zhangwenjun selforganizology |