Complex Adaptive Systems (CAS) Mirsad Hadzikadic
System
Agents
Self-Organization
Adaptation
Feedback
Emergence
(Complex) Network
Power Law
CAS Architecture
Applications
Research Topics
System in General Energy, Entropy, Information Measure of Complexity Driving Force Architecture Fundamental Properties Verification & Validation
Energy, Entropy, Information Energy – sustains and constrains Entropy – provides direction, defines possibilities Information – connects, amplifies, “new energy?”
Measure of Complexity Many proposed Context dependent? Useful?
Architecture Processing vs. Representation Element Brain Society
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)
Fundamental Properties Threshold Emergence Self-organization
Verification & Validation Verification – system specifications Validation – functionality, utility System sensitivity (chaos) Optimizing parameters to explain and/or predict