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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
29/10/2013 |
Data da última atualização: |
08/01/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 2 |
Autoria: |
CASTRO, A. de. |
Afiliação: |
ALEXANDRE DE CASTRO, CNPTIA. |
Título: |
The thermodynamic cost of fast thought. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
Minds and Machines, Dordrecht, v. 23, n. 4, p. 473-487, Nov. 2013. |
DOI: |
10.1007/s11023-013-9302-x |
Idioma: |
Inglês |
Conteúdo: |
Abstract After more than 60 years, Shannon's research continues to raise fundamental questions, such as the one formulated by R. Luce, which is still unanswered: "Why is information theory not very applicable to psychological problems, despite apparent similarities of concepts"? On this topic, S. Pinker, one of the foremost defenders of the widespread computational theory of mind, has argued that thought is simply a type of computation, and that the gap between human cognition and computational models may be illusory. In this context, in his latest book, titled Thinking Fast and Slow, D. Kahneman provides further theoretical interpretation by differentiating the two assumed systems of the cognitive functioning of the human mind. He calls them intuition (system 1) determined to be an associative (automatic, fast and perceptual) machine, and reasoning (system 2) required to be voluntary and to operate logical-deductively. In this paper, we propose a mathematical approach inspired by Ausubel's meaningful learning theory for investigating, from the constructivist perspective, information processing in the working memory of cognizers. Specifically, a thought experiment is performed utilizing the mind of a dual-natured creature known as Maxwell's demon: a tiny "man-machine" solely equipped with the characteristics of system 1, which prevents it from reasoning. The calculation presented here shows that the Ausubelian learning schema, when inserted into the creature's memory, leads to a Shannon-Hartley-like model that, in turn, converges exactly to the fundamental thermodynamic principle of computation, known as the Landauer limit. This result indicates that when the system 2 is shut down, both an intelligent being, as well as a binary machine, incur the same minimum energy cost per unit of information (knowledge) processed (acquired), which mathematically shows the computational attribute of the system 1, as Kahneman theorized. This finding links information theory to human psychological features and opens the possibility to experimentally test the computational theory of mind by means of Landauer's energy cost, which can pave a way toward the conception of a multi-bit reasoning machine. MenosAbstract After more than 60 years, Shannon's research continues to raise fundamental questions, such as the one formulated by R. Luce, which is still unanswered: "Why is information theory not very applicable to psychological problems, despite apparent similarities of concepts"? On this topic, S. Pinker, one of the foremost defenders of the widespread computational theory of mind, has argued that thought is simply a type of computation, and that the gap between human cognition and computational models may be illusory. In this context, in his latest book, titled Thinking Fast and Slow, D. Kahneman provides further theoretical interpretation by differentiating the two assumed systems of the cognitive functioning of the human mind. He calls them intuition (system 1) determined to be an associative (automatic, fast and perceptual) machine, and reasoning (system 2) required to be voluntary and to operate logical-deductively. In this paper, we propose a mathematical approach inspired by Ausubel's meaningful learning theory for investigating, from the constructivist perspective, information processing in the working memory of cognizers. Specifically, a thought experiment is performed utilizing the mind of a dual-natured creature known as Maxwell's demon: a tiny "man-machine" solely equipped with the characteristics of system 1, which prevents it from reasoning. The calculation presented here shows that the Ausubelian learning schema, when inserted into the creature's memory, leads ... Mostrar Tudo |
Palavras-Chave: |
Cognitive structure; Computacionalismo; Computationalism; Demônio de Maxwell; Estrutura cognitiva; Limite de Landauer; Modelo Shannon-Hartley; Teoria do aprendizado de Ausubel. |
Thesaurus NAL: |
Cognition. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02942naa a2200241 a 4500 001 1969617 005 2020-01-08 008 2013 bl uuuu u00u1 u #d 024 7 $a10.1007/s11023-013-9302-x$2DOI 100 1 $aCASTRO, A. de 245 $aThe thermodynamic cost of fast thought.$h[electronic resource] 260 $c2013 520 $aAbstract After more than 60 years, Shannon's research continues to raise fundamental questions, such as the one formulated by R. Luce, which is still unanswered: "Why is information theory not very applicable to psychological problems, despite apparent similarities of concepts"? On this topic, S. Pinker, one of the foremost defenders of the widespread computational theory of mind, has argued that thought is simply a type of computation, and that the gap between human cognition and computational models may be illusory. In this context, in his latest book, titled Thinking Fast and Slow, D. Kahneman provides further theoretical interpretation by differentiating the two assumed systems of the cognitive functioning of the human mind. He calls them intuition (system 1) determined to be an associative (automatic, fast and perceptual) machine, and reasoning (system 2) required to be voluntary and to operate logical-deductively. In this paper, we propose a mathematical approach inspired by Ausubel's meaningful learning theory for investigating, from the constructivist perspective, information processing in the working memory of cognizers. Specifically, a thought experiment is performed utilizing the mind of a dual-natured creature known as Maxwell's demon: a tiny "man-machine" solely equipped with the characteristics of system 1, which prevents it from reasoning. The calculation presented here shows that the Ausubelian learning schema, when inserted into the creature's memory, leads to a Shannon-Hartley-like model that, in turn, converges exactly to the fundamental thermodynamic principle of computation, known as the Landauer limit. This result indicates that when the system 2 is shut down, both an intelligent being, as well as a binary machine, incur the same minimum energy cost per unit of information (knowledge) processed (acquired), which mathematically shows the computational attribute of the system 1, as Kahneman theorized. This finding links information theory to human psychological features and opens the possibility to experimentally test the computational theory of mind by means of Landauer's energy cost, which can pave a way toward the conception of a multi-bit reasoning machine. 650 $aCognition 653 $aCognitive structure 653 $aComputacionalismo 653 $aComputationalism 653 $aDemônio de Maxwell 653 $aEstrutura cognitiva 653 $aLimite de Landauer 653 $aModelo Shannon-Hartley 653 $aTeoria do aprendizado de Ausubel 773 $tMinds and Machines, Dordrecht$gv. 23, n. 4, p. 473-487, Nov. 2013.
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