Illustrating a neural model of logic computations: The case of Sherlock Holmes’ old maxim
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| Format: | Artículo científico |
| Sprache: | en |
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Universidad del País Vasco/Euskal Herriko Unibertsitatea
2016
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| _version_ | 1876477503883706368 |
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| author | Eduardo Mizraji |
| author_facet | Eduardo Mizraji |
| contents | Illustrating a neural model of logic computations: The case of Sherlock Holmes’ old maxim Eduardo Mizraji Filosofía Modal logics Natural language Neural computations Models of reasoning 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 truth. 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 naturally perform modal logical computations. 2016 artículo científico 0495-4548 https://www.redalyc.org/articulo.oa?id=339744130002 en http://www.redalyc.org/revista.oa?id=3397 THEORIA. Revista de Teoría, Historia y Fundamentos de la Ciencia application/pdf Universidad del País Vasco/Euskal Herriko Unibertsitatea THEORIA. Revista de Teoría, Historia y Fundamentos de la Ciencia (España) Num.1 Vol.31 |
| format | Artículo científico |
| id | redalyc_339744130002 |
| institution | Redalyc |
| language | en |
| publishDate | 2016 |
| publisher | Universidad del País Vasco/Euskal Herriko Unibertsitatea |
| spellingShingle | Illustrating a neural model of logic computations: The case of Sherlock Holmes’ old maxim Eduardo Mizraji Filosofía Modal logics Natural language Neural computations Models of reasoning Illustrating a neural model of logic computations: The case of Sherlock Holmes’ old maxim Eduardo Mizraji Filosofía Modal logics Natural language Neural computations Models of reasoning 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 truth. 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 naturally perform modal logical computations. 2016 artículo científico 0495-4548 https://www.redalyc.org/articulo.oa?id=339744130002 en http://www.redalyc.org/revista.oa?id=3397 THEORIA. Revista de Teoría, Historia y Fundamentos de la Ciencia application/pdf Universidad del País Vasco/Euskal Herriko Unibertsitatea THEORIA. Revista de Teoría, Historia y Fundamentos de la Ciencia (España) Num.1 Vol.31 |
| title | Illustrating a neural model of logic computations: The case of Sherlock Holmes’ old maxim |
| topic | Filosofía Modal logics Natural language Neural computations Models of reasoning |
| url | https://www.redalyc.org/articulo.oa?id=339744130002 |