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Complex Adaptive Systems (CAS)

Explore the intricate world of Complex Adaptive Systems (CAS) and delve into the realms of System Agents, Self-Organization, and Emergence. Discover the driving forces, fundamental properties, and verification/validation methods shaping CAS architecture. Uncover the interplay of Energy, Entropy, and Information as measures of complexity. Delve into research topics, applications, and the dynamic nature of CAS in various systems.

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Complex Adaptive Systems (CAS)

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  1. Complex Adaptive Systems (CAS) Mirsad Hadzikadic

  2. System

  3. Agents

  4. Self-Organization

  5. Adaptation

  6. Feedback

  7. Emergence

  8. (Complex) Network

  9. Power Law

  10. CAS Architecture

  11. Applications

  12. Research Topics

  13. System in General • Energy, Entropy, Information • Measure of Complexity • Driving Force • Architecture • Fundamental Properties • Verification & Validation

  14. Energy, Entropy, Information • Energy – sustains and constrains • Entropy – provides direction, defines possibilities • Information – connects, amplifies, “new energy?”

  15. Measure of Complexity • Many proposed • Context dependent? • Useful?

  16. Architecture • Processing vs. Representation Element • Brain • Society

  17. Driving Force • What We Know We Know (Baseline) • Receive/Seek New Input • Measure Outcome (utility, reward/punishment, efficiency, cost, risk, equity, …) • Compare to Expected Outcome (value, direction, rate, frequency, recency, …) • Evaluate w.r.t. the Incentive (new baseline)

  18. Fundamental Properties • Threshold • Emergence • Self-organization

  19. Verification & Validation • Verification – system specifications • Validation – functionality, utility • System sensitivity (chaos) • Optimizing parameters to explain and/or predict

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