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Intelligent Complex Adaptive Systems

Book Description

"As the world currently subsists as a platform for exchange among complex, intelligent systems that are constantly adapting and evolving to suit the surrounding physical, sociological, emotional, and sensory environment, understanding the theory and emergence of complex adaptive systems is of paramount importance.

Intelligent Complex Adaptive Systems explores the foundation, history, and theory of intelligent adaptive systems, providing scholars, researchers, and practitioners with a fundamental resource on topics such as the emergence of intelligent adaptive systems in social sciences, biologically inspired artificial social systems, sensory information processing, as well as the conceptual and methodological issues and approaches to intelligent adaptive systems."

Table of Contents

  1. Copyright
  2. Foreword
  3. Preface
  4. General Theories
    1. From Reductive to Robust: Seeking the Core of Complex Adaptive Systems Theory
      1. Abstract
      2. What is the Core of CAS Theory?
      3. A Reductive Study of CAS Theory
      4. Looking at the Structure of Theory
      5. Investigating Relational Propositions
      6. Comparisons and Insights
      7. Will CAS and/or ICAS Theory Survive?
      8. References
    2. Method of Systems Potential as "Top-Bottom" Technique of the Complex Adaptive Systems Modelling
      1. Abstract
      2. Introduction
      3. Brief Overview
      4. Interrelation Between MAM and MSP Platforms of CAS Modelling
      5. Method of Systems Potential
      6. MSP-Systems with Fixed Evolutionary Parameters
      7. Conclusion
      8. References
      9. Endnotes
  5. Important Concepts
    1. Modularity and Complex Adaptive Systems
      1. Abstract
      2. Introduction
      3. Modularity in Natural Systems
      4. Modularity in Artificial Systems
      5. Adaptive Processes Leading to Modularity
      6. Conclusion
      7. References
    2. Concept and Definition of Complexity
      1. Abstract
      2. Introduction: Is Complexity a Quality or a Quantity?
      3. Complexity as a Quantity
      4. Graph Theoretic Measures of Complexity
      5. Information as Complexity
      6. Computational Complexity and Logical Depth
      7. Occam's Razor
      8. Complexity as a Quality: Emergence
      9. Conclusion
      10. References
      11. Key Terms
  6. Computing Perspectives
    1. Emergence of Creativity: A Simulation Approach
      1. Abstract
      2. Introduction
      3. Background
      4. A Simulation Approach to Analyzing Creativity
      5. Theoretical Discussion
      6. Future Trends
      7. Conclusion
      8. Acknowledgment
      9. References
      10. Endnotes
    2. Solving the Sensory Information Bottleneck to Central Processing in Adaptive Systems
      1. Abstract
      2. Introduction
      3. The Problem
      4. Background
      5. Solution
      6. Emerging Insights
      7. Conclusion
      8. References
    3. Complexity, Information, and Robustness: The Role of Information "Barriers" in Boolean Networks
      1. Abstract
      2. Introduction
      3. Boolean Networks: Their Structure and Their Dynamics
      4. More on Structure and Dynamics: Walls of Constancy, Dynamics Cores, and Modularization
      5. The Role of Non-Conserving (Structural) Information Loops
      6. State Space Compression and Robustness
      7. Balancing Response "Strategies" and System Robustness
      8. Conclusion
      9. Acknowledgment
      10. References
      11. Endnote
    4. Emergent Specialization in Biologically Inspired Collective Behavior Systems
      1. Abstract
      2. Introduction
      3. Types of Specialization
      4. Collective Behavior Methods for Specialization
      5. Heterogeneous vs. Homogenous Design of Emergent Specialization
      6. Collective Behavior Tasks and Specialization
      7. Future Directions
      8. Conclusion
      9. References
      10. Endnotes
  7. Social Science Perspectives
    1. Emergence in Agent-Based Computational Social Science: Conceptual, Formal, and Diagrammatic Analysis
      1. Abstract
      2. Introduction
      3. Some Conceptual Issues on Emergence
      4. Formal Definitions of Emergence
      5. Quadrants: An Integrative View of Multi-Agent Systems
      6. Conclusion
      7. Acknowledgment
      8. References
      9. Endnotes
    2. Ontological Reflections on Peace and War1
      1. Abstract
      2. Introduction
      3. Putting More War and Peace into Our Model's Ontologies
      4. How not to Commit Cliocide in Event-Data Coding Practices11
      5. Incorporating Political Histories into Adaptively Intelligent Multi-Agent Ecological Models
      6. Toward Better, Still Revisable, Ontologies
      7. References
      8. Endnotes
    3. The Allocation of Complexity in Economic Systems1
      1. Abstract
      2. Introduction
      3. Rules and Complex Systems
      4. Assume Complexity
      5. The Allocation of Complexity
      6. The Relative Price of Complexity
      7. Conclusion
      8. References
      9. Endnotes
  8. About the Contributors
  9. Index