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        Applying Multi-Criteria Optimisation to Develop Cognitive Models

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        902197.pdf (PDF, 384Kb)
        Author
        Lane, P.C.R.
        Gobet, F.
        Attention
        2299/2080
        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.
        Publication date
        2005
        Published in
        In: Proceedings of the 2005 UK Workshop on Computational Intelligence
        Other links
        http://hdl.handle.net/2299/2080
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