R. Paul Wiegand
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Joint Faculty Contact Info: Department of Electrical Engineering and Computer Science University of Central Florida Orlando, FL 32816-2362 E-Mail: paul@tesseract.org Office Phone: (407) 882-0313 EECS Homepage: Click Here Click to view publication list Areas of Interest: Developing empirical research and theory for understanding coadaptive learning algorithms for multiagent systems. Using evolutionary game theory as a tool for understanding the dynamics of compositional (cooperative) coevolutionary algorithms Biography: R. Paul Wiegand received his Ph.D. from George Mason University in 2004, on the topic of An Analysis of Cooperative Coevolutionary Algorithms. Though new to the Institute for Simulation & Training at the University of Central Florida, he has conducted research at the Navy Center for Applied Research in Artificial Intelligence at the Naval Research Laboratory, the Evolutionary Computation Laboratory at George Mason University, and the Algorithm Efficiency and Complexity group at Dortmund Universitat. His research interests primarily focus on methods of natural computation, theory of coadaptive and coevolutionary computation, and application of coadaptive methods for multiagent learning. More generally, Dr. Wiegand is interested in studying methods for designing and applying effective learning algorithms and representations for generating and modeling robust heterogeneous, multiagent team behaviors. Dr. Wiegand is in the early stages of developing the Natural Computation & Coadaptive Systems Laboratory at IST. The focus of this group will be to study computational mechanisms modeled after natural phenomena (e.g., evolutionary computation, physics- or biologically-based swarm systems, ant colony optimization, etc.), as well as complex adaptive systems that involve multiple, interacting entities (e.g., coevolution, multiagent reenforcement learning, swarm behaviors, etc.). The primary domains of interest will be multiagent simulation, and there will be strong analytical component to the research conducted by the lab. Those interested in being involved, particularly Computer Science and Modeling & Simulation students at UCF, are encouraged to contact Dr. Wiegand. More information about this lab will become available at some point prior to the start of Fall term, 2007. Paul Wiegand is also developing relationships with the Evolutionary Computation Laboratory, the Evolutionary Complexity Research Group, and the Crowd Dynamics Simulation Research Group at UCF. |
