The focus of the Natural Computation and Coadaptive Systems laboratory is 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 are multiagent simulation, and there is a 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.