Applying Multi-Criteria Optimisation to Develop Cognitive Models

P.C.R. Lane, F. Gobet

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)
39 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationIn: Proceedings of the 2005 UK Workshop on Computational Intelligence
PublisherBirkbeck
Pages28-35
Publication statusPublished - 2005

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