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Illustrating a neural model of logic computations: The case of Sherlock Holmes’ old maxim

Mizraji, Eduardo (2016) Illustrating a neural model of logic computations: The case of Sherlock Holmes’ old maxim. THEORIA. An International Journal for Theory, History and Foundations of Science, 31 (1). pp. 7-25. ISSN 2171-679X

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Abstract

Natural languages can express some logical propositions that humans are able to understand. We illustrate this fact with a famous text that Conan Doyle attributed to Holmes: “It is an old maxim of mine that when you have excluded the impossible, whatever remains, however improbable, must be the truth”. This is a subtle logical statement usually felt as an evident true. The problem we are trying to solve is the cognitive reason for such a feeling. We postulate here that we accept Holmes’ maxim as true because our adult brains are equipped with neural modules that perform naturally modal logical computations.


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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Mizraji, Eduardoemizraji@gmail.com
Additional Information: ISSN: 0495-4548 (print)
Keywords: Neural computations; Natural language; Models of reasoning; Modal logics
Subjects: Specific Sciences > Computation/Information
Depositing User: Unnamed user with email theoria@ehu.es
Date Deposited: 08 Jun 2016 19:41
Last Modified: 08 Jun 2016 19:41
Item ID: 12170
Journal or Publication Title: THEORIA. An International Journal for Theory, History and Foundations of Science
Publisher: Euskal Herriko Unibertsitatea / Universidad del País Vasco
Official URL: http://www.ehu.eus/ojs/index.php/THEORIA/article/v...
DOI or Unique Handle: 10.1387/theoria.13959
Subjects: Specific Sciences > Computation/Information
Date: January 2016
Page Range: pp. 7-25
Volume: 31
Number: 1
ISSN: 2171-679X
URI: https://philsci-archive.pitt.edu/id/eprint/12170

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