dc.contributor.author | Lloyd-Kelly, Martyn | |
dc.contributor.author | Gobet, Fernand | |
dc.contributor.author | Lane, Peter | |
dc.date.accessioned | 2017-07-20T16:07:24Z | |
dc.date.available | 2017-07-20T16:07:24Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Lloyd-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.issn | 2190-9288 | |
dc.identifier.uri | http://hdl.handle.net/2299/19027 | |
dc.description | This 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.abstract | The 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.extent | 35 | |
dc.format.extent | 1004885 | |
dc.language.iso | eng | |
dc.relation.ispartof | LNCS Transactions on Computational Collective Intelligence | |
dc.title | A question of balance: The benefits of pattern-recognition when solving problems in a complex domain | en |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Science & Technology Research Institute | |
dc.description.status | Peer reviewed | |
rioxxterms.versionofrecord | 10.1007/978-3-319-27543-7 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |