Complex Adaptive Systems (CAS) Mirsad Hadzikadic.

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Presentation transcript:

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