1 / 39

Complex Adaptive Systems (CAS)

Delve into the realm of Complex Adaptive Systems (CAS) with a focus on energy, entropy, and information. Unravel the driving forces, architecture, and fundamental properties while examining verification and validation processes. Explore the dynamic interplay of self-organization, emergence, and feedback within CAS.

powellbarbara
Download Presentation

Complex Adaptive Systems (CAS)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

More Related