Adaptive Control of Thought-Rational (ACT-R) and Queueing Network (QN) are two complementary but isolated cognitive architectures. The research reported in this paper aims to integrate the two architectures and benefit from their advantages so as to enhance cognitive modeling capabilities. The new combined architecture, named ACTR-QN, represents ACT-R as a QN whose servers are ACT-R modules and buffers and run the corresponding ACT-R functions. Task-specific knowledge and parameters are defined with ACT-R syntaxes. ACTR-QN provides real-time visualization of mental information processing in addition to ACT-R’s text output traces and is verified with 20 tasks that have been modeled by ACT-R. The steps and benefits of further integration are discussed.
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