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Similarity and Categorization

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Oxford University Press UK (2001)

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  1. Refining the Bayesian Approach to Unifying Generalisation.Nina Poth - 2022 - Review of Philosophy and Psychology (3):1-31.
    Tenenbaum and Griffiths (2001) have proposed that their Bayesian model of generalisation unifies Shepard’s (1987) and Tversky’s (1977) similarity-based explanations of two distinct patterns of generalisation behaviours by reconciling them under a single coherent task analysis. I argue that this proposal needs refinement: instead of unifying the heterogeneous notion of psychological similarity, the Bayesian approach unifies generalisation by rendering the distinct patterns of behaviours informationally relevant. I suggest that generalisation as a Bayesian inference should be seen as a complement to, (...)
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  • A Preliminary Study on Categorization Type in a Group of Iranian Students.Setareh Mohsenifar, Habibollah Ghassemzadeh, Shabnam Salimi & Mohsen Arjmand - 2011 - Journal of Cognition and Culture 11 (1-2):49-59.
    The ability to categorize has been known as one of the most important cognitive abilities in human beings. When it comes to the topic of categorization type, it seems different people select differently. Some of them categorize on the basis of similarity judgment and some based on the uni-dimensional rule. The present study attempts to evaluate the tendency toward a specific type of categorization as can be observed in a voluntary group of medical students in Iran. Most of the studies (...)
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  • The Effects of Feature-Label-Order and Their Implications for Symbolic Learning.Michael Ramscar, Daniel Yarlett, Melody Dye, Katie Denny & Kirsten Thorpe - 2010 - Cognitive Science 34 (6):909-957.
    Symbols enable people to organize and communicate about the world. However, the ways in which symbolic knowledge is learned and then represented in the mind are poorly understood. We present a formal analysis of symbolic learning—in particular, word learning—in terms of prediction and cue competition, and we consider two possible ways in which symbols might be learned: by learning to predict a label from the features of objects and events in the world, and by learning to predict features from a (...)
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  • “Don’t Mind the Gap!” Reflections on Improvement Science as a Paradigm.Trenholme Junghans - 2018 - Health Care Analysis 26 (2):124-139.
    Responding to this issue’s invitation to bring new disciplinary insights to the field of improvement science, this article takes as its starting point one of the field’s guiding metaphors: the imperative to “mind the gap”. Drawing on insights from anthropology, history, and philosophy, the article reflects on the origins and implications of this metaphoric imperative, and suggests some ways in which it might be in tension with the means and ends of improvement. If the industrial origins of improvement science in (...)
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  • Identity and similarity.Igor Douven & Lieven Decock - 2010 - Philosophical Studies 151 (1):59-78.
    The standard approach to the so-called paradoxes of identity has been to argue that these paradoxes do not essentially concern the notion of identity but rather betray misconceptions on our part regarding other metaphysical notions, like that of an object or a property. This paper proposes a different approach by pointing to an ambiguity in the identity predicate and arguing that the concept of identity that figures in many ordinary identity claims, including those that appear in the paradoxes, is not (...)
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