Abstract and Keywords
The EPIC architecture emphasizes perceptual-motor constraints with a flexible concept of parallel cognitive processing and has distinctive features of theoretical parsimony. Its primary difference in coverage from other architectures is that it is an architecture for modeling performance, not learning. In this chapter, the assumptions of the architecture are summarized and its concept and approach are illustrated with a model of a fundamental visual search task. The results of additional areas of application are also summarized.
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