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dc.contributor.authorSmith, R.L.
dc.contributor.authorGobet, F.
dc.contributor.authorLane, P.C.R.
dc.date.accessioned2010-08-10T07:39:37Z
dc.date.available2010-08-10T07:39:37Z
dc.date.issued2009
dc.identifier.citationIn: Proceedings of the Ninth International Conference on Cognitive Modelling, ICCM 2009, edited by Howes, A.; Peebles, D.; Cooper, R.en
dc.identifier.other904509en
dc.identifier.urihttp://hdl.handle.net/2299/4727
dc.description.abstractThe procedure by which humans identify checks in check positions is not well understood. We report here our experience in modelling this process with CHREST, a general-purpose cognitive model that has previously successfully captured a variety of attention- and perception-related phenomena. We have attempted to reproduce the results of an experiment investigating the ability of humans to determine checks in simple chess positions. We propose a specific model of how humans perform this experiment, and show that, given certain reasonable assumptions, CHREST can follow this model to create a good reproduction of the data.en
dc.format.extent293229 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherCognitive Science Societyen
dc.subjectCHRESTen
dc.subjectcognitive modelen
dc.subjectchessen
dc.subjectperceptionen
dc.titleChecking chess checks with chunks: A model of simple check detectionen
dc.typeConference paperen
herts.preservation.rarelyaccessedtrue


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