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dc.contributor.authorLloyd-Kelly, Martyn
dc.contributor.authorGobet, Fernand
dc.contributor.authorLane, Peter
dc.date.accessioned2017-07-20T16:07:24Z
dc.date.available2017-07-20T16:07:24Z
dc.date.issued2015
dc.identifier.citationLloyd-Kelly , M , Gobet , F & Lane , P 2015 , ' A question of balance: The benefits of pattern-recognition when solving problems in a complex domain ' , LNCS Transactions on Computational Collective Intelligence , vol. XX , pp. 224-258 . https://doi.org/10.1007/978-3-319-27543-7
dc.identifier.issn2190-9288
dc.identifier.otherPURE: 10687540
dc.identifier.otherPURE UUID: 0a816480-96f1-49c1-9cb3-1250474c2c50
dc.identifier.otherScopus: 84955286782
dc.identifier.urihttp://hdl.handle.net/2299/19027
dc.descriptionThis is the accepted manuscript version of the following article: M. Lloyd-Kelly, F. Gobet, and Peter C. R. Lane, “A Question of Balance The Benefits of Pattern-Recognition when Solving Problems in a Complex Domain”, LNCS Transactions on Computational Collective Intelligence, Vol. XX, 2015. The final published version is available at: http://www.springer.com/gb/book/9783319275420 © 2015 Springer International Publishing.
dc.description.abstractThe dual-process theory of human cognition proposes the existence of two systems for decision-making: a slower, deliberative,problem-solving system and a quicker, reactive, pattern-recognition system. We alter the balance of these systems in a number of computational simulations using three types of agent equipped with a novel, hybrid, human-like cognitive architecture. These agents are situated in the stochastic, multi-agent Tileworld domain, whose complexity can be precisely controlled and widely varied. We explore how agent performance is affected by different balances of problem-solving and pattern-recognition, and conduct a sensitivity analysis upon key pattern-recognition system variables. Results indicate that pattern-recognition improves agent performance by as much as 36.5 % and, if a balance is struck with particular pattern-recognition components to promote pattern-recognition use, performance can be further improved by up to 3.6 %. This research is of interest for studies of expert behaviour in particular, and AI in general.en
dc.format.extent35
dc.language.isoeng
dc.relation.ispartofLNCS Transactions on Computational Collective Intelligence
dc.rightsOpen
dc.titleA question of balance: The benefits of pattern-recognition when solving problems in a complex domainen
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.description.statusPeer reviewed
dc.description.versiontypeFinal Accepted Version
dcterms.dateAccepted2015
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1007/978-3-319-27543-7
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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