dc.contributor.author | Lane, P.C.R. | |
dc.contributor.author | Gobet, F. | |
dc.date.accessioned | 2008-06-10T10:03:36Z | |
dc.date.available | 2008-06-10T10:03:36Z | |
dc.date.issued | 2005 | |
dc.identifier.citation | Lane , P C R & Gobet , F 2005 , Applying Multi-Criteria Optimisation to Develop Cognitive Models . in In: Proceedings of the 2005 UK Workshop on Computational Intelligence . Birkbeck , pp. 28-35 . | |
dc.identifier.other | dspace: 2299/2080 | |
dc.identifier.uri | http://hdl.handle.net/2299/2080 | |
dc.description.abstract | A scientific theory is developed by modelling empirical data in a range of domains. The goal of developing a theory is to optimise the t of the theory to as many experimental settings as possible, whilst retaining some qualitative properties such as `parsimony' or `comprehensibility'. We formalise the task of developing theories of human cognition as a problem in multi-criteria optimisation. There are many challenges in this task, including the representation of competing theories, coordinating the t with multiple experiments, and bringing together competing results to provide suitable theories. Experiments demonstrate the development of a theory of categorisation, using multiple optimisation criteria in genetic algorithms to locate pareto-optimal sets. | en |
dc.format.extent | 393925 | |
dc.language.iso | eng | |
dc.publisher | Birkbeck | |
dc.relation.ispartof | In: Proceedings of the 2005 UK Workshop on Computational Intelligence | |
dc.title | Applying Multi-Criteria Optimisation to Develop Cognitive Models | en |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.contributor.institution | Department of Computer Science | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |