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