Abstract
This paper introduces a new vision module, called PAAV, developed for the cognitive architecture ACT-R. Unlike ACT-R's default vision module that was originally developed for top-down perception only, PAAV was designed to model a wide range of tasks, such as visual search and scene viewing, where pre-attentive bottom-up processes are essential for the validity of a model. PAAV builds on attentive components of the default vision module and incorporates greater support for modeling pre-attentive components of human vision. The module design incorporates the best practices from existing models of vision. The validity of the module was tested on four different tasks.
| Original language | English |
|---|---|
| Pages (from-to) | 62-71 |
| Number of pages | 10 |
| Journal | Cognitive Systems Research |
| Volume | 24 |
| DOIs | |
| Publication status | Published - Sep 2013 |
| Externally published | Yes |
Keywords
- ACT-R
- Cognitive architecture
- Iconic memory
- Vision
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