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COG250Y1 (127)

Oct 15 2012

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University of Toronto St. George
Cognitive Science
John Vervaeke

Oct 15 2012 Cog250 Prototype Theory: -Typicality of constituency didn’t produce a good prediction of resulting structures - prototype theory predicts linear separability and prediction but empirical evidence has not supported this predication, not playing a crucial role Problems Conceptual confirmation should be able to confirm inference about those categ. Using prototype theory however when we formalize it and apply it . it should give us an account of compositionality but the prototypes do not contribute to our understanding of the composition Shared assumptions got 2 theories (classical and prototype theory) and both highly problematic maybe both theories are failing because they have both flawed assumptions which might be causing them to both fail. Presupposition an assumption that is shared across more than 1 theory and 1 argument Some of the Assumptions -structural assumption  Concepts are feature lists (classics) -Functional assumption the main job of a concept is to label/describe world This is a presupposition. Both of these assumptions are very flawed and needs to be rejected. -Structural/ feature list problem doesn’t talk about relations between features ex. 2 features of bird, small or large if its small it’s likely to sing if its large its not likely to sing. This is correlational information known as the gestalt (organizational structure) THERE IS AN organizational structure more than the feature ( there’s a system of relations that is something other than the conjunctive joining of the list of features or “ the whole is more than the parts its made of’) Reality isn’t a conjunctive list. -The idea of labelling is that it just “points and describes an object/concept” but people are trying to do smth else in their concepts like explain how the object behaves One of the reasons why you look for structure is so you can look for its function Theory of Concepts: -what ppl are trying to do when they form a concept when we are trying to make theories trying to explain it not just describes  concepts are micro-theories Problem with correlations is that there’s too many of them but people are also interested in constitutive relations. Theory vs. Data -Not simply the fact that data produces data but theory also helps you look where to find data, select the data, what interpretations you’ll draw, generalizations to be made. Data does not simply generate theoy -this view may override massive perceptual similarity if they have a better similarity - select similarities that will allow us to explain the phenomenon. advantage of theory it’ll give us a new way of making selections  micro theory Might begin to explain how conceptualization works -May explain what typicality gradients -this theory can also predict fuzzy boundaries with respect to the world (without having to rely on prototype) -People will give features at different levels of abstraction -Multiple levels of description/features -explanation: people are trying to find links
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