Anderson and Lebiere's (1998) modeling system ACT-R (Adaptive Control of Thought – Rational) has been a leading contributor to advances in cognitive science. Despite the modeling system's success there are areas in which it may be improved. The present research advocates a suggested approach to improving ACT-R's predictive capacity by using EEG (electroencephalography) latency data to predict the time it takes to achieve certain mental steps. A model is presented which successfully represents EEG data from a simple auditory experiment. Implications of this modeling approach to ACT-R and to the field of cognitive science are discussed.
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