For his paper on integrating rule-based and connectionist models for accounting for human everyday reasoning, he received the 1991 David Marr Award from Cognitive Science Society.
For his work on human skill learning, he received the 2008 Hebb Award from the International Neural Network Society.
This research has culminated with the development of an integrated cognitive architecture that can be used to provide a qualitative and quantitative explanation of empirical psychological learning data.
More importantly, CLARION was the first psychological model that proposed an explanation for the "bottom-up learning" mechanisms present in human skill acquisition: His numerous papers on the subject have brought attention to this neglected area in cognitive science.
[7] In this work (with S. Helie), he proposed an integrative theory that is much broader in explanatory scope and used it to account for a range of empirical phenomena.