Plenary Presentation
(
Mind, Mathematics, and Machines: Symbolic Computational Modeling of Human Cognition and Action Based on Executive-Process Interactive Control
Prof.
David E. Meyer received his Ph. D. from the University of Michigan and
subsequently worked for several years in the Human Information Processing
Research Department at the Bell Telephone Laboratories, Murray Hill, New
Jersey, before joining the faculty at the University of Michigan. He is a
fellow in the Society of Experimental Psychologists, American Psychological
Society, American Psychological Association, and American Association for the
Advancement of Science. The APA has recently honored Prof. Meyer with its
Distinguished Scientific Contribution Award. His empirical and theoretical
research -- sponsored by the National Science Foundation, National Institute of
Mental Health, and Office of Naval Research -- have dealt with fundamental
aspects of human perception, attention, learning, memory, language, movement
control, reaction time, personality and cognitive style, cognitive aging, cognitive
neuroscience, human-computer interaction, executive mental control,
multitasking, mathematical models, and computational models. Reports of these
works have appeared in various books and journals such as Science, the Psychological
Review, Cognitive Psychology, Memory & Cognition, Journal
of Experimental Psychology, Journal of Memory and Language, etc.,
and volumes of the Attention and Performance symposium series. Prof.
Meyer recently advanced a cognitive computational architecture called EPIC
(Executive-Process Interactive Control) to explain and predict reaction times (RTs), response accuracy, and other measurable aspects of
people's overt behavior across various domains where multiple tasks must be
performed concurrently. Under the EPIC model, not only procedural cognition but
also motor control and perceptual-motor interactions are able to be treated
explicitly and parsimoniously in conjunction with formal hypotheses about
supervisory executive cognitive processes and task-scheduling strategies.