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        Attention Mechanisms in the CHREST Cognitive Architecture

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        903377.pdf (PDF, 142Kb)
        Author
        Lane, P.C.R.
        Gobet, F.
        Smith, R.L.
        Attention
        2299/3368
        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.
        Publication date
        2009
        Published in
        Lecture Notes in Computer Science (LNCS)
        Published version
        https://doi.org/10.1007/978-3-642-00582-4_14
        Other links
        http://hdl.handle.net/2299/3368
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