
From Complexity in the Natural Sciences to Complexity in Operations Management Systems
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Content
- Cover
- Half-Title Page
- Title Page
- Copyright Page
- Contents
- Preface
- Dedication
- 1. Complexity and Systems Thinking
- 1.1. Introduction: complexity as a problem
- 1.2. Complexity in perspective
- 1.2.1. Etymology and semantics
- 1.2.2. Methods proposed for dealing with complexity from the Middle Ages to the 17th Century and their current outfalls
- 1.3. System-based current methods proposed for dealing with complexity
- 1.3.1. Evolution of system-based methods in the 20th Century
- 1.3.2. The emergence of a new science of mind
- 1.4. Systems thinking and structuralism
- 1.4.1. Systems thinking
- 1.4.2. Structuralism
- 1.4.3. Systems modeling
- 1.5. Biodata of two figureheads in the development of cybernetics
- 1.5.1. Ludwig von Bertalanffy (1901-1972)
- 1.5.2. Heinz von Förster (1911-2002)
- 1.6. References
- 2. Agent-based Modeling of Human Organizations
- 2.1. Introduction
- 2.2. Concept of agenthood in the technical world
- 2.2.1. Some words about agents explained
- 2.2.2. Some implementations of the agenthood paradigm
- 2.3. Concept of agenthood in the social world
- 2.3.1. Cursory perspective of agenthood in the social world
- 2.3.2. Organization as a collection of agents
- 2.4. BDI agents as models of organization agents
- 2.4.1. Description of BDI agents
- 2.4.2. Comments on the structural components of BDI agents
- 2.5. Patterns of agent coordination
- 2.5.1. Organizational coordination
- 2.5.2. Contracting for coordination
- 2.5.3. Coordination by multi-agent planning
- 2.6. Negotiation patterns
- 2.7. Theories behind the organization theory
- 2.7.1. Structural and functional theories
- 2.7.2. Cognitive and behavioral theories
- 2.7.3. Organization theory and German culture
- 2.8. Organizations and complexity
- 2.8.1. Structural complexity
- 2.8.2. Behavioral complexity in group decision-making
- 2.8.3. Autonomous agents and complexity in organization operations: inexorable stretch to artificial organization
- 2.9. References
- 3. Complexity and Chaos
- 3.1. Introduction
- 3.2. Complexity and chaos in physics and chemistry
- 3.2.1. Introductory considerations
- 3.2.2. Quadratic iterator modeling the dynamic behavior of animal and plant populations
- 3.2.3. Traces of chaotic behavior in different contexts
- 3.3. Order out of chaos
- 3.3.1. Determinism out of an apparent random algorithm
- 3.3.2. Chaos game and MRCM (Multiple Reduction Copy Machine)
- 3.3.3. Randomness and its foolery
- 3.4. Chaos in organizations - the certainty of uncertainty
- 3.4.1. Chaos and big data: what is data deluge?
- 3.4.2. Change management and adaptation of information systems
- 3.5. References
- Conclusion
- C.1. Some general considerations
- C.2. Complexity versus chaos
- C.2.1. Complex systems contain many constituents interdependent and interacting nonlinearly.
- C.2.2. A complex system possesses a structure spanning several levels
- C.2.3. A complex system is capable of emerging behavior
- C.2.4. Complexity involves reciprocal action between chaos and order
- C.2.5. Complexity involves interplay between cooperation and competition
- C.3. References
- Appendix 1: Notions of Graph Theory for Analyzing Social Networks
- Appendix 2: Time Series Analysis with a View to Deterministic Chaos
- References
- Index
- Other titles from iSTE in Systems and Industrial Engineering - Robotics
- EULA
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