Illustrating a neural model of logic computations: the case of Sherlock Holmes' old maxim
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 trut...
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| Formato: | article |
| Idioma: | inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://hdl.handle.net/20.500.12008/25829 |
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| Resumo: | 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. |
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