Abstract
The study of epistemology considers how the human agent knows itself and its world, and in particular whether this agent/world interaction can be considered as an object of scientific study. The empiricist and rationalist traditions have offered their specific answers to this question. I propose a constructivist, model-refinement approach to epistemological issues and offer a Bayesian characterisation of agent/world interactions. I present several Bayesian-based models for diagnostic reasoning and point out epistemological aspects of this approach. I conclude this chapter with some discussion of possible cognitive correlates of this class of computational model.
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© 2012 George Luger
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Luger, G. (2012). Epistemology, Access and Computational Models. In: McFarland, D., Stenning, K., McGonigle-Chalmers, M. (eds) The Complex Mind. Palgrave Macmillan, London. https://doi.org/10.1057/9780230354456_8
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DOI: https://doi.org/10.1057/9780230354456_8
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