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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/2963

Title: Attention mechanisms in the CHREST cognitive architecture
Authors: Lane, PCR
Gobet, F
Smith, RL
Keywords: attention
CHREST
computer modeling
perceptual expertise
eye movements
chunk
top down
bottom up
cognitive architecture
chunking network
chess
expectation
Publication Date: 2008
Publisher: Joanneum Research
Citation: Proceedings of the 5th International Workshop on Attention in Cognitive Systems, Graz, May 2008, pp. 1-14
Abstract: In 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.
URI: http://bura.brunel.ac.uk/handle/2438/2963
Appears in Collections:School of Social Sciences Research Papers
Psychology

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