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dc.contributor.authorLane, PCR-
dc.contributor.authorGobet, F-
dc.contributor.authorSmith, RL-
dc.identifier.citationProceedings of the 5th International Workshop on Attention in Cognitive Systems, Graz, May 2008, pp. 1-14en
dc.description.abstractIn this paper, we describe the attention mechanisms in CHREST, a computational architecture of human visual expertise. CHREST organises information acquired by direct experience from the world in the form of chunks. These chunks are searched for, and verified, by a unique set of heuristics, comprising the attention mechanism. We explain how the attention mechanism combines bottom-up and top-down heuristics from internal and external sources of information. We describe some experimental evidence demonstrating the correspondence of CHREST’s perceptual mechanisms with those of human subjects. Finally, we discuss how visual attention can play an important role in actions carried out by human experts in domains such as chess.en
dc.format.extent149286 bytes-
dc.publisherJoanneum Researchen
dc.subjectcomputer modelingen
dc.subjectperceptual expertiseen
dc.subjecteye movementsen
dc.subjecttop downen
dc.subjectbottom upen
dc.subjectcognitive architectureen
dc.subjectchunking networken
dc.titleAttention mechanisms in the CHREST cognitive architectureen
dc.typeConference Paperen
Appears in Collections:Psychology
Dept of Life Sciences Research Papers

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