This page is maintained by the Artificial Intelligence Research Group in the Department of Computer Science at Iowa State University. Please mail additions and updates to this page to Vasant Honavar email@example.com.
Many natural systems (e.g., brains, immune systems, ecologies, societies) and increasingly, many artificial systems (parallel and distributed computing systems, artificial intelligence systems, artificial neural networks, evolutionary programs) are characterized by apparently complex behaviors that emerge as a result of often nonlinear spatio-temporal interactions among a large number of component systems at different levels of organization. Consequently, researchers in a number of disparate areas including computer science, artificial intelligence, neural networks, cognitive science, computational economics, mathematics, optimization, complexity theory, control systems, biology, neuroscience, psychology, engineering, etc. have have begun to address, through a combination of basic as well as applied, theoretical as well as experimental research, analysis and synthesis of such systems.