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How to computationally model human performance in complex cognitive and multi-task scenarios has become an important yet challenging question for human performance modelling and simulation. This paper reports the work that develops an integrated cognitive architecture for this purpose. The resulting architecture -queueing network-adaptive control of thought rational (QN-ACTR) -is an integration of the QN mathematical architecture and the ACT-R symbolic architecture. This integration allowsdoi:10.1504/ijhfms.2013.055790 fatcat:t4fpuuiz5zap5dlge2kwn6amyu