Presentation is loading. Please wait.

Presentation is loading. Please wait.

Complex Adaptive Systems

Similar presentations


Presentation on theme: "Complex Adaptive Systems"— Presentation transcript:

1 Complex Adaptive Systems
Mirsad Hadzikadic Dean, College of Information Technology, University of North Carolina at Charlotte

2 Agenda CoIT Introduction Properties Examples Not a CAS Demos Power Law
Summary

3 College of IT Academic Units Centers Laboratories
Department of Computer Science Department of Software & Information Systems Programs BS/BA Computer Science BA Software and Information Systems MS CS & IT PH.D IT Certificates, minor Centers National Security Agency Center of Academic Excellence in Information Assurance Education eBusiness Technology Institute Center for Computer Security and Assurance Regional Center for Visualization and Analytics Center for Bioinformatics Laboratories Information Integration, Security, and Privacy Information Environments Mobile and Multimedia Communications Software Solutions Computer Forensics Virtual Reality Visualization Robotics Knowledge and Data Discovery Computer Engineering Parallel Processing Imaging, Visualization, and Vision Home Security

4 Undergraduate Certificate
2004 Enrollment Program CSCI S&IS BA, BS 400 100 Undergraduate Certificate 10 N/A Graduate Certificate 5 30 MS 130 70 Ph.D. IT

5 Faculty

6 Research Focus Areas Computer / Information Security Bioinformatics
Visualization Networking & Information Environments Intelligent Systems Synergy

7 External Funding ($M)

8 Woodward Hall

9 Introduction

10 Properties Not-so-intelligent agents, both homogeneous and heterogeneous Local, frequent interactions Non-linear phenomena - the whole is greater than the sum of its parts Adaptation Fitness function (agent and system) Self-organization

11 Self-organization is a process where the organization of a system spontaneously increases over time, thus enabling the system to cope with the unexpected, and increasingly complex, behavior of the environment it exists in Emergent properties/behavior

12 Wise Crowds U.S. Submarine Scorpion, 1968 Jelly-beans-in-the-jar Maze
The Space Shuttle Challenger Prediction Super Bowl, World Series Iowa Electronics Market Project, Hollywood Stock Exchange Stock Market Corporate Decision Making

13 The Four Conditions That Characterize Wise Crowds
Diversity of Opinion Independence Decentralization Aggregation

14 Examples Brain Immune System Economy Water Internet, Google
Ant Colonies, Slime Mold, Swarms Flocks (boids) Environment Voting, Stock Market

15 Not a CAS An example of a non-complex system
In equilibrium economic models all consumers are identical - no change in preferences or characteristics

16 Demos NKS LifeLab NetLogo Student Projects Encryption Piracy Pricing
Traffic Rebates Pricing Feature Relevance Ants Financial markets

17 Power Law

18 Summary

19 Simple agents, complex interactions Self-organization Non-linearity
Improvement over time/feedback Macro emergent behavior “There is plenty of room at the bottom” - Richard Feynman Molecular biology / DNA (biology, chemistry) Quantum mechanics (physics) Nanotechnology (optics) Strings Theory

20 Questions?


Download ppt "Complex Adaptive Systems"

Similar presentations


Ads by Google