Introduction to the special issue on computational cognitive modeling

An Integrated Cognitive Architecture for Cognitive Engineering Applications

“…Cognitive models can be used to support cognitive engineering. Compared with other forms of cognitive models such as verbal frameworks and pure mathematical models, cognitive architectures are particularly useful for complex cognitive engineering applications, because they unify a wide range of cognitive theories (Newell, 1990) and can computationally simulate human-machine interactions (Byrne & Pew, 2009;Schunn & Gray, 2002). For example, Adaptive Control of Thought-Rational (ACT-R, Anderson et al, 2004), a cognitive architecture that has incorporated many of the theoretical advances of cognitive science over the past decades, has been applied to cognitive engineering analyses of human-machine interactions including airport runway navigation, driving performance, and human-computer interactions (for a review, see Gray, 2008).…”

Keeping the patient asleep and alive: Towards a computational cognitive model of disturbance management in anaesthesia

“…[15,17,30,45].. The availability of mechanistically reproducible activity streams that relate to the mental phenomena being explained in turn provides a means for testing the sufficiency of the explanation [35,44]. Testing according to the behavioral outcome modelling approach [44] commences with a gathering of behavioral data from human subjects, and involves analysis of that data at appropriate levels of abstraction to determine the extent to which the computational model can produce the same kinds of decisions as do human subjects, under comparable conditions.…”