Director of the Modeling Program, is the Rudy Professor of Psychology. He has had a three year grant from the National Science Foundation for mathematical modeling of fundamental cognitive processes; he has served six years as editor of the Journal of Mathematical Society, and is a past president of the Society for Mathematical Society.

He is co-editor (with Professor Steven Link) of a series of books published by Lawrence Erlbaum Associates emphasizing modeling in cognition, and co-author (with his student, Greg Ashby) of an influential book, The Stochastic Modeling of Elementary Processes.

He has published numerous chapters and articles exposing fundamental principles of stochastic modeling, and utilizing random walks in multidimensional spaces, non-linear dynamical systems, and differential geometry and topology. He uses these techniques in studies of search, perception, attention, identification, signal detection theory, motor skill, face and shape recognition, and decision theory.

Richard Shiffrin

Director of the Cognitive Science Program, holds a ten year MERIT award from NIMH for modeling of memory, forgetting and information processing.

He has published numerous articles based on modeling. He specializes in stochastic and probabilistic models, and computer simulations, applied to accuracy and response time data, and has published a general treatment giving predictions for, and allowing easy use of, semi-Markov chains.

The models have been applied in a wide variety of content areas, including memory, learning and forgetting, attention and automatism, visual perception, and lexical access. He has recently been developing a new model of explicit, implicit and generic memory.

Robert Nosofsky

Professor of Psychology, has had continuous funding from NIMH for the application of stochastic and multidimensional scaling models to issues in perceptual classification, categorization, learning and memory.

He was the first winner of the New Investigator Award of the Society for Mathematical Psychology, has won the Troland Award from the National Academy of Sciences and the APA Distinguished Scientific Award for an Early Career Contribution to Psychology, and is presently president of the Society for Mathematical Psychology.

He has applied stochastic and scaling models to topics in categorization, classification, and recognition memory.

Jerry Busemeyer

Professor of Psychology, has held a James McKeen Cattell Award and currently has grant support from both NIMH and NSF for the modeling of decision making.

He uses stochastic models, dynamical systems modeling, and neural net modeling in his research on decision making, categorization, and function learning. He is also a leading expert on statistical methodology and the testing of models against data.

Robert Port

Professor of Linguistics and Computer Science, and has been Assistant Director of the Indiana University Cognitive Science Program.

He has held grants from the Office of Naval Research to study models for the continuous processing of auditory signals, and from the Office of Naval Research to study auditory signal processing.

He has published articles on the modeling of phonetics and auditory processing, and articles on the use of neural networks to capture aspects of temporal patterns. Recently he has carried out research modeling non-linear dynamic systems with neural nets. He recently co-edited, with Tim van Gelder, Mind as Motion.

John Kruschke

Professor of Psychology, has a current NIMH FIRST award. He organized the 1992 meetings of the Cognitive Science Society. He teaches the introductor course taken by all Cognitive Science students on models in cognitive science.

His publications in this area include an influential Psychological Review article setting forth a connectionist model for the psychological mechanisms that govern the categorization of patterns and the learning of attention to features. These connectionist models have been extended in new and important directions in recent years.

Geoffrey Bingham

Associate Professor of Psychology, has had a three year grant from the National Science Foundation aimed at modeling event perception. He has published articles on models of visual perception and motion, visual event perception, and perception of motor action.

He is currently modeling the control of motor behavior. He teaches courses and carries out research using geometric models, models of physics, and non-linear dynamical models.

Robert Goldstone

Associate Professor of Psychology, has published many well known articles on the modeling of similarity and the conception of relational properties, and has had an NSF grant to support this research.

He uses mathematical models based on scaling techniques, and neural net modeling. In 1995 he won two APA awards in the Division of Experimental Psychology for the best contributions to the journals JEP: General, and JEP: Learning Memory and Cognition (the first year these awards were made). He also received the Chase Memorial Award for the Outstanding Researcher in Cognitive Science, 1996.

Tom Busey

Associate Professor of Psychology, has carried out research in all aspects of visual processing and perception.

He has specialized in non-linear models (with thresholds) for early stages of visual perception and identification, work presented in several recent and already influential articles, particularly one in Psychological Review. He also studies temporal and spatial frequency resolution in vision, and the neural basis for such processing.

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The capabilities of the core faculty are further enhanced by additional faculty in Cognitive Science at Indiana who use modeling in their research, including some world renowned scientists such as Michael Dunn in Philosophy, Douglas Hofstadter in Computer Science, and Charles Watson in Speech and Hearing Science. These and the other affiliated faculty will contribute to training through the courses they offer, and through research seminars, joint research projects, and informal discussions.