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

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Published 17-02-2016
Eduardo Mizraji

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. 

How to Cite

Mizraji, E. (2016). Illustrating a neural model of logic computations: The case of Sherlock Holmes’ old maxim. THEORIA, 31(1), 7–25. https://doi.org/10.1387/theoria.13959
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Keywords

computations, Natural language, Models of reasoning, Modal logics

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