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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
05/05/2014 |
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Data da última atualização: |
08/01/2020 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
CASTRO, A. de. |
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Afiliação: |
ALEXANDRE DE CASTRO, CNPTIA. |
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Título: |
A Shannon-like solution for the fundamental equation of information science. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
In: TRIPATHY, B. K.; ACHARIVA, D. P. Global trends in intelligent computing research and development. Hershey: Information Science Reference, 2014. ch. 18. |
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Páginas: |
p. 516-524. |
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Série: |
(Advances in computacional intelligence and robotics). |
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ISBN: |
978-1-4666-4936-1 |
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DOI: |
10.4018/978-1-4666-4936-1.ch018 |
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Idioma: |
Inglês |
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Conteúdo: |
In a seminal paper published in the early 1980s titled ?Information Technology and the Science of Information,? Bertram C. Brookes theorized that a Shannon-Hartley's logarithmic-like measure could be applied to both information and recipient knowledge structure in order to satisfy his ?Fundamental Equation of Information Science.? To date, this idea has remained almost forgotten, but, in what follows, the authors introduce a novel quantitative approach that shows that a Shannon-Hartley's log-like model can represent a feasible solution for the cognitive process of retention of information described by Brookes. They also show that if, and only if, the amount of information approaches 1 bit, the ?Fundamental Equation? can be considered an equality in stricto sensu, as Brookes required. |
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Palavras-Chave: |
Conhecimento; Equação da ciência da informação; Inteligência artificial; Inteligência computacional. |
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Thesaurus Nal: |
Artificial intelligence; Information science; Knowledge. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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100 1 $aCASTRO, A. de
245 $aA Shannon-like solution for the fundamental equation of information science.$h[electronic resource]
260 $c2014
300 $ap. 516-524.
490 $a(Advances in computacional intelligence and robotics).
520 $aIn a seminal paper published in the early 1980s titled ?Information Technology and the Science of Information,? Bertram C. Brookes theorized that a Shannon-Hartley's logarithmic-like measure could be applied to both information and recipient knowledge structure in order to satisfy his ?Fundamental Equation of Information Science.? To date, this idea has remained almost forgotten, but, in what follows, the authors introduce a novel quantitative approach that shows that a Shannon-Hartley's log-like model can represent a feasible solution for the cognitive process of retention of information described by Brookes. They also show that if, and only if, the amount of information approaches 1 bit, the ?Fundamental Equation? can be considered an equality in stricto sensu, as Brookes required.
650 $aArtificial intelligence
650 $aInformation science
650 $aKnowledge
653 $aConhecimento
653 $aEquação da ciência da informação
653 $aInteligência artificial
653 $aInteligência computacional
773 $tIn: TRIPATHY, B. K.; ACHARIVA, D. P. Global trends in intelligent computing research and development. Hershey: Information Science Reference, 2014. ch. 18.
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