9788864537467.pdf

Cognition implies perception and judgement. Perception consists in interpreting a sensory stimulus: it is a common process in every animal with a brain, and can be described as a Bayesian inference where the interpretive algorithm is stored in long-term memory. Judgement, on the other hand, is relat...

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Έκδοση: Firenze University Press 2022
Διαθέσιμο Online:https://books.fupress.com/isbn/9788864537467
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spelling oapen-20.500.12657-554742022-06-01T03:36:17Z Cognizione e realtà Arecchi, Fortunato Tito bic Book Industry Communication::H Humanities::HP Philosophy bic Book Industry Communication::H Humanities::HP Philosophy::HPL Philosophy: logic bic Book Industry Communication::P Mathematics & science::PD Science: general issues::PDA Philosophy of science bic Book Industry Communication::P Mathematics & science::PH Physics::PHU Mathematical physics Cognition implies perception and judgement. Perception consists in interpreting a sensory stimulus: it is a common process in every animal with a brain, and can be described as a Bayesian inference where the interpretive algorithm is stored in long-term memory. Judgement, on the other hand, is related to the comparison between two perceptions which are coded in a language, in that short-term memory presents the first perception once again and compares it with the second. This operation is called inverted Bayes’ theorem and while it does not presuppose an algorithm, it builds a new one using comparison. The book shows how the algorithmic leaps related to linguistic operations capture aspects of reality which cannot be reached through Bayesian chains of inference following the same algorithm. Nowadays, we experience the successes of Artificial Intelligence (AI), which, however, works thanks to a direct Bayes’ theorem and speeds up recursive chains, but does not resort to algorithmic leaps; therefore, it does not contribute to human language. 2022-05-31T10:30:58Z 2022-05-31T10:30:58Z 2018 book ONIX_20220531_9788864537467_758 2704-5919 9788864537467 9788864537450 9788892730939 https://library.oapen.org/handle/20.500.12657/55474 ita Studi e saggi application/pdf Attribution 4.0 International 9788864537467.pdf https://books.fupress.com/isbn/9788864537467 Firenze University Press 10.36253/978-88-6453-746-7 Cognition implies perception and judgement. Perception consists in interpreting a sensory stimulus: it is a common process in every animal with a brain, and can be described as a Bayesian inference where the interpretive algorithm is stored in long-term memory. Judgement, on the other hand, is related to the comparison between two perceptions which are coded in a language, in that short-term memory presents the first perception once again and compares it with the second. This operation is called inverted Bayes’ theorem and while it does not presuppose an algorithm, it builds a new one using comparison. The book shows how the algorithmic leaps related to linguistic operations capture aspects of reality which cannot be reached through Bayesian chains of inference following the same algorithm. Nowadays, we experience the successes of Artificial Intelligence (AI), which, however, works thanks to a direct Bayes’ theorem and speeds up recursive chains, but does not resort to algorithmic leaps; therefore, it does not contribute to human language. 10.36253/978-88-6453-746-7 bf65d21a-78e5-4ba2-983a-dbfa90962870 9788864537467 9788864537450 9788892730939 191 150 Florence open access
institution OAPEN
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language ita
description Cognition implies perception and judgement. Perception consists in interpreting a sensory stimulus: it is a common process in every animal with a brain, and can be described as a Bayesian inference where the interpretive algorithm is stored in long-term memory. Judgement, on the other hand, is related to the comparison between two perceptions which are coded in a language, in that short-term memory presents the first perception once again and compares it with the second. This operation is called inverted Bayes’ theorem and while it does not presuppose an algorithm, it builds a new one using comparison. The book shows how the algorithmic leaps related to linguistic operations capture aspects of reality which cannot be reached through Bayesian chains of inference following the same algorithm. Nowadays, we experience the successes of Artificial Intelligence (AI), which, however, works thanks to a direct Bayes’ theorem and speeds up recursive chains, but does not resort to algorithmic leaps; therefore, it does not contribute to human language.
title 9788864537467.pdf
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title_short 9788864537467.pdf
title_full 9788864537467.pdf
title_fullStr 9788864537467.pdf
title_full_unstemmed 9788864537467.pdf
title_sort 9788864537467.pdf
publisher Firenze University Press
publishDate 2022
url https://books.fupress.com/isbn/9788864537467
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