Know-how as the cognitive basis of skill

Thesis: Ph. D. in Philosophy, Massachusetts Institute of Technology, Department of Linguistics and Philosophy, 2017. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 86-93). === This thesis seeks to develop and defend conceptions of know-how that shed light on...

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Main Author: Bianchi, Dylan Mila
Other Authors: Alex Byrne.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2018
Subjects:
Online Access:http://hdl.handle.net/1721.1/113780
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spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-1137802019-05-02T15:52:39Z Know-how as the cognitive basis of skill Bianchi, Dylan Mila Alex Byrne. Massachusetts Institute of Technology. Department of Linguistics and Philosophy. Massachusetts Institute of Technology. Department of Linguistics and Philosophy. Linguistics and Philosophy. Thesis: Ph. D. in Philosophy, Massachusetts Institute of Technology, Department of Linguistics and Philosophy, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 86-93). This thesis seeks to develop and defend conceptions of know-how that shed light on the state's theoretical role as the cognitive basis of skilled action. In Chapter 1, 1 propose an account of knowhow based on the idea of information being accessible for a purpose. I argue that an account of this form sheds new light on the explanatory relationship between knowing how to o and being able to o. In Chapter 2, I develop the core components of a cognitivist, yet rule-free, conception of know-how. I show how this conception better accommodates the phenomenology of fluent skilled action and provides resources for a new way of thinking about practical modes of presentation. In Chapter 3, I explore the relationship between the know-how/know-that distinction and socioeconomic inequality by Dylan Bianchi. Ph. D. in Philosophy 2018-02-16T20:05:31Z 2018-02-16T20:05:31Z 2017 2017 Thesis http://hdl.handle.net/1721.1/113780 1022566127 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 pages application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Linguistics and Philosophy.
spellingShingle Linguistics and Philosophy.
Bianchi, Dylan Mila
Know-how as the cognitive basis of skill
description Thesis: Ph. D. in Philosophy, Massachusetts Institute of Technology, Department of Linguistics and Philosophy, 2017. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 86-93). === This thesis seeks to develop and defend conceptions of know-how that shed light on the state's theoretical role as the cognitive basis of skilled action. In Chapter 1, 1 propose an account of knowhow based on the idea of information being accessible for a purpose. I argue that an account of this form sheds new light on the explanatory relationship between knowing how to o and being able to o. In Chapter 2, I develop the core components of a cognitivist, yet rule-free, conception of know-how. I show how this conception better accommodates the phenomenology of fluent skilled action and provides resources for a new way of thinking about practical modes of presentation. In Chapter 3, I explore the relationship between the know-how/know-that distinction and socioeconomic inequality === by Dylan Bianchi. === Ph. D. in Philosophy
author2 Alex Byrne.
author_facet Alex Byrne.
Bianchi, Dylan Mila
author Bianchi, Dylan Mila
author_sort Bianchi, Dylan Mila
title Know-how as the cognitive basis of skill
title_short Know-how as the cognitive basis of skill
title_full Know-how as the cognitive basis of skill
title_fullStr Know-how as the cognitive basis of skill
title_full_unstemmed Know-how as the cognitive basis of skill
title_sort know-how as the cognitive basis of skill
publisher Massachusetts Institute of Technology
publishDate 2018
url http://hdl.handle.net/1721.1/113780
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