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|Title:||Attention mechanisms in the CHREST cognitive architecture|
|Authors:||Lane, PCR;Gobet, F;Smith, RL|
|subject:||attention;CHREST;computer modeling;perceptual expertise;eye movements;chunk;top down;bottom up;cognitive architecture;chunking network;chess;expectation|
|Description:||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.|
|Standard no:||Proceedings of the 5th International Workshop on Attention in Cognitive Systems, Graz, May 2008, pp. 1-14|
|Appears in Collections:||Dept of Life Sciences Research Papers|
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