Attention Mechanisms in the CHREST Cognitive Architecture

P.C.R. Lane, F. Gobet, R.L. Smith

    Research output: Contribution to journalArticlepeer-review

    3 Citations (Scopus)
    54 Downloads (Pure)

    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.
    Original languageEnglish
    Pages (from-to)183-196
    JournalLecture Notes in Computer Science (LNCS)
    Volume5395
    DOIs
    Publication statusPublished - 2009

    Fingerprint

    Dive into the research topics of 'Attention Mechanisms in the CHREST Cognitive Architecture'. Together they form a unique fingerprint.

    Cite this