Quantitative Explorations of Category Learning with Symbolic Concept Acquisition

Abstract

We are striving to create cognitive models that produce veridical human behavior for complex tasks in real time. This paper details the application of an existing model of human category learning, Symbolic Concept Acquisition, to model category learning within a complex, real-time, perceptual-motor task. The chief modeling challenge was quantitatively… (More)

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