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...
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1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New Jersey :
World Scientific,
2016.
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Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | "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."-- |
Beschreibung: | 1 online resource |
Bibliographie: | Includes bibliographical references (pages 357-386) and index. |
ISBN: | 9789814699495 9814699497 |
Internformat
MARC
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020 | |z 9789814699488 |q (hardcover ; |q alk. paper) | ||
020 | |z 9814699489 |q (hardcover ; |q alk. paper) | ||
035 | |a (OCoLC)945758124 |z (OCoLC)931011257 |z (OCoLC)941700401 |z (OCoLC)958391825 |z (OCoLC)1162055686 |z (OCoLC)1206232859 |z (OCoLC)1392121945 | ||
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049 | |a MAIN | ||
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 | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
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. | ||
650 | 0 | |a System theory. |0 http://id.loc.gov/authorities/subjects/sh85131743 | |
650 | 0 | |a Management. |0 http://id.loc.gov/authorities/subjects/sh85080336 | |
650 | 0 | |a Organizational behavior. |0 http://id.loc.gov/authorities/subjects/sh85095524 | |
650 | 2 | |a Systems Theory |0 https://id.nlm.nih.gov/mesh/D013598 | |
650 | 6 | |a Théorie des systèmes. | |
650 | 6 | |a Gestion. | |
650 | 6 | |a Comportement organisationnel. | |
650 | 7 | |a management. |2 aat | |
650 | 7 | |a SCIENCE |x System Theory. |2 bisacsh | |
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650 | 7 | |a Management |2 fast | |
650 | 7 | |a Organizational behavior |2 fast | |
650 | 7 | |a System theory |2 fast | |
650 | 7 | |a Complex analysis, complex variables. |2 thema | |
650 | 7 | |a Evolution. |2 thema | |
650 | 7 | |a Science: general issues. |2 thema | |
776 | 0 | 8 | |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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Datensatz im Suchindex
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adam_text | |
any_adam_object | |
author | Zhang, Wen-Jun |
author_facet | Zhang, Wen-Jun |
author_role | |
author_sort | Zhang, Wen-Jun |
author_variant | w j z wjz |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | Q - Science |
callnumber-label | Q295 |
callnumber-raw | Q295 .Z43 2016 |
callnumber-search | Q295 .Z43 2016 |
callnumber-sort | Q 3295 Z43 42016 |
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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 |
dewey-hundreds | 000 - Computer science, information, general works |
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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code="2">rdacarrier</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references (pages 357-386) and index.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Print version record.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="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.</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 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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="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.</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 | 2024-11-26T14:49:22Z |
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isbn | 9789814699495 9814699497 |
language | English |
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publisher | World Scientific, |
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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 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1105703 Volltext |
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. |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1105703 |
work_keys_str_mv | AT zhangwenjun selforganizologythescienceofselforganization AT zhangwenjun selforganizology |