1. Complex Adaptive Systems (CAS) Mirsad Hadzikadic

2. System

4. Agents

7. Self-Organization

9. Adaptation

11. Feedback

14. Emergence

16. (Complex) Network

18. Power Law

20. CAS Architecture

22. Applications

30. Research Topics

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

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

34. Measure of Complexity Many proposed Context dependent? Useful?

35. Architecture Processing vs. Representation Element Brain Society

36. 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)

37. Fundamental Properties Threshold Emergence Self-organization

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