A Brief Description of Our Queueing Network Modeling Work:

We model the human mind and behavioral system as a queueing network of information processing servers. Our modeling approach integrates theories and methods of mathematical psychology, computational cognitive modeling (procedure/production rule based), operations research, neuroscience, and experimental psychology.

As a mathematical model, our queueing network model is able to integrate a large number of existing mathematical models as special cases and to cover a wider range of phenomena. As a computational cognitive model, our model has a distinct position in modeling cognition: Cognition in our Queueing Network model is neither serial (ACT-R's position) nor relying on Executive Control (EPIC's position). It is a macro-architecture model with a few dozens of powerful processing units (like cortical zones or psychological functional modules), not a micro-structure connectionist neural network of a large number of neurons.

Our queueing network model has not only an underlying mathematical structure and rigor, but also computational power to generate/simulate behavior in real time. For example, it is able to steer a driving simulator in real time, while allowing us to visualize the internal information flows inside "the mind" while the "human" performs real world tasks such as driving--see short movie clip (Best viewed with QuickTime).

Please see our publications on Queueing Network Modeling of Human Performance for more details. We warmly welcome your comments.

Journal Articles: (Please click the Journal Publications Link on my Homepage)