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Russellian Descriptions & Gibbardian Indicatives (Two Case Studies Involving Automated Reasoning) artwork
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Russellian Descriptions & Gibbardian Indicatives (Two Case Studies Involving Automated Reasoning)

MCMP – Mathematical Philosophy (Archive 2011/12) by Ludwig-Maximilians-Universität Munich

Apr 20, 201900:45:35Society & Culture

Branden Fitelson (Rutgers University) gives a talk at the MCMP Workshop on Computational Metaphysics titled "Russellian Descriptions & Gibbardian Indicatives (Two Case Studies Involving Automated Reasoning)". Abstract: T...

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Russellian Descriptions & Gibbardian Indicatives (Two Case Studies Involving Automated Reasoning) is an episode from MCMP – Mathematical Philosophy (Archive 2011/12) by Ludwig-Maximilians-Universität Munich. Branden Fitelson (Rutgers Univer...

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Published Apr 20, 2019, 00:45:35 long, audio available.

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What is Russellian Descriptions & Gibbardian Indicatives (Two Case Studies Involving Automated Reasoning) about?

Branden Fitelson (Rutgers University) gives a talk at the MCMP Workshop on Computational Metaphysics titled "Russellian Descriptions & Gibbardian Indicatives (Two Case Studies Involving Automated Reasoning)". Abstract: The first part of this talk (which is joint work with Paul Oppenheimer) will be about the perils of representing claims involving Russellian definite descriptions in an "automated reasoning friendly" way. I will explain how to eliminate Russellian descriptions, so as to yield logically equivalent (and automated reasoning friendly) statements. This is a special case of a more general problem -- which is representing philosophical theories/explications in a way that automated reasoning tools can understand. The second part of the talk shows how automated reasoning tools can be useful in clarifying the structure (and requisite presuppositions) of well-known philosophical "theorems". Here, the example comes from the philosophy of language, and it involves a certain "triviality result" or "collapse theorem" for the indicative conditional that was first discussed by Gibbard. I show how one can use automated reasoning tools to provide a precise, formal rendition of Gibbard's "theorem". This turns out to be rather revealing about what is (and is not) essential to Gibbard's argument.

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Russellian Descriptions & Gibbardian Indicatives (Two Case Studies Involving Automated Reasoning) is an episode from MCMP – Mathematical Philosophy (Archive 2011/12) by Ludwig-Maximilians-Universität Munich.

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This episode is 00:45:35 long.

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This episode was published on Apr 20, 2019.

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Where can I listen to Russellian Descriptions & Gibbardian Indicatives (Two Case Studies Involving Automated Reasoning)?

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Russellian Descriptions & Gibbardian Indicatives (Two Case Studies Involving Automated Reasoning) is from MCMP – Mathematical Philosophy (Archive 2011/12) by Ludwig-Maximilians-Universität Munich.

What are the episode details?

Published Apr 20, 2019 and 00:45:35 long