Tutorial: Complex Adaptive Systems: Emergence, Self-Organization, Tools,
- - - - - -Analysis and Case Studies (full-day)
Leaders: Stephen H. Kaisler and Gregory Madey

The Complex Adaptive and Emergent Systems (CASs) tutorial will address an evolving area of research that focuses on complex systems that exhibit behavior and properties not directly attributable to their components. This behavior and the system's properties arise from the interactions among its subsystems. CASs exhibit three key properties: order is emergent as opposed to predetermined, the system's history is irreversible, and the system's future is often unpredictable. This tutorial will explore the history and definition of CASs; models of CASs and properties of the systems; a framework for designing and building CASs, and several real-world case studies that show how CAS models can be used in both analytical and predictive roles.

This tutorial will complement a new Minitrack, Quantitative and Computational Social Sciences, for the Decision Technologies and Service Sciences. It will give attendees a basic understanding of the definitions and different models for complex adaptive and emergent systems and provide an integrated framework for considering wicked problems that are exemplars of such systems. Finally, the tutorial will provide several case studies of complex adaptive emergent systems.

Gregory Madey (gmadey@nd.edu) is currently an Associate Professor in the Department of Computer Science and Engineering at Notre Dame University (NDU). His primary research interests are agent-based modeling and simulation, bioinformatics and biocomplexity, data warehousing and data mining, and e-Science. He is the lead researcher on a number of NSF-sponsored grants emergency operations systems, bioinformatics, and information technology. He has previously been a Director of Advanced Projects and Strategic Planning, Defense Systems, Loral Corporation (now part of Lockheed-Martin). Dr. Madey received his PhD from Case Western Reserve University.

Stephen Kaisler (skaisler1@comcast.net) is currently a Senior Scientist with SET Logos technologies, a firm specializing in science, engineering, and technology research, development and integration. He current is performing R&D in text mining and computational social science. Previously, he has been a Senior Associate with SET Corporation and the Technical Advisor to the Chief Information Officer of the U.S. Senate, where he was responsible for systems architecture, modernization and strategic planning. He is an Adjunct Professor of Engineering Department of Computer Science at George Washington University, where he has taught part-time since 1979. He earned a D.Sc. (Computer Science) from George Washington University, and an M.S. (Computer Science) and B.S. (Physics) from the University of Maryland at College Park. He has written four books and published over 28 technical papers.