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I present a novel approach to modelling spatial mental imagery within the ACT-R cognitive architecture. The proposed method augments ACT-R’s representation of visual objects to enable the processing of spatial extent and incorporates a set of linear and affine transformation functions to allow the manipulation of internal spatial representations. The assumptions of the modified architecture are then tested by using it to develop models of two classic mental imagery phenomena: the mental scanning study of Kosslyn, Ball, and Reiser (1978) and mental rotation (Shepard & Metzler, 1971). Both models provide very close fits to human response time data.
|Title of host publication||41st Annual Meeting of the Cognitive Science Society (CogSci 2019)|
|Subtitle of host publication||Creativity + Cognition + Computation|
|Editors||Ashok Goel, Colleen Seifert, Christian Freksa|
|Publisher||Cognitive Science Society|
|Number of pages||7|
|Publication status||Published - 1 Oct 2019|
|Event||41st Annual Conference of the Cognitive Science Society: Creativity + Cognition + Computation - Montreal, Canada|
Duration: 24 Jul 2019 → 27 Jul 2019
Conference number: 41
|Conference||41st Annual Conference of the Cognitive Science Society|
|Period||24/07/19 → 27/07/19|
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