Complex Systems
Complex Systems are composed of large interrelated, interacting entities which taken together, exhibit a macroscopic behavior which is not predictable by examination of the individual entities. The Complex Systems Program seeks to understand the fundamental science of these systems and develop rigorous descriptions (analytic, statistical, or semantic) that enable prediction and control of their behavior. Initially focused on the Internet and Grid Computing, this Program will facilitate predictability and reliability in these areas and other complex systems such as biotechnology, nanotechnology, semiconductors, and complex engineering.
Programs/Projects:
- Complex Systems Fundamentals
Roldan Pozo
- Measurement Science for Complex Information Systems
Kevin Mills, Chris Dabrowski, Vladimir Marbukh, Jim Filliben, Fern Hunt, Dan Genin, Dennis Leber
- Complex Systems Testbed
Vince Stanford, Lukas Diduch, Imad Hamchi, Mathieu Hoarau, Antoine Fillinger
- Methods for Characterizing Complex Networks
Isabel Beichl, Brian Cloteaux
Latest Publications:
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- The Complex Systems program provides the intellectual framework for the creation of a Science of Networks.
- Network Science with metrics and predictive capabilities is virtually non-existent. We need to move from Network Technology (engineered solutions), which are sophisticated, to Network Science.
- To build fundamental network metrics by fostering a community of experts based on core competencies.
- The Complex Systems Program is working towards the development of metrics for a science of networks. Given enough understanding we want to be able to describe, predict and ultimately control complex systems.
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