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Thought, Consciousness, and the Given.

  • Published In: European Journal of Philosophy, 2025, v. 33, n. 3. P. 1070 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Rosenthal, David 3 of 3

Abstract

How do we come to understand the nature of the thoughts that we and others have? And how do we come to have the conceptual resources needed to formulate such understanding? Many would say we understand the nature of thoughts simply by being subjectively aware of our own conscious thoughts. But it is unclear how consciousness could, on its own, provide the conceptual resources required for such understanding. An alternative account holds that we understand the nature of thoughts in a third‐person way, by appeal to the speech acts that can express those thoughts. Such an account readily explains how we come to have the required conceptual resources. Wilfrid Sellars, in "Empiricism and the Philosophy of Mind" and elsewhere, developed a view along those lines, appealing to considerations related to and in the spirit of the foregoing concerns. I'll describe and defend that view against two main objections. And I'll argue that any picture of consciousness on which it could reveal the nature of thoughts is independently untenable, and also that such a picture underlies what Sellars denounced as the Myth of the Given. In closing I explain how, given that we understand the nature of thoughts in such a third‐person way, some of our thoughts come to be conscious. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:European Journal of Philosophy. 2025/09, Vol. 33, Issue 3, p1070
  • Document Type:Article
  • Subject Area:Language and Linguistics
  • Publication Date:2025
  • ISSN:0966-8373
  • DOI:10.1111/ejop.13039
  • Accession Number:187693048
  • Copyright Statement:Copyright of European Journal of Philosophy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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