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From complexity in the natural sciences to complexity in operations management systems. Volume 1 /

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Bibliographic Details
Main Author: Briffaut, Jean-Pierre (Author)
Format: eBook
Language:English
Published: Newark : John Wiley & Sons, Incorporated, 2019.
Series:Industrial and systems engineering series.
Subjects:
Management science.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 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.