Data/hora: 25/06/2024 18:48:57

Biblioteca(s): | Embrapa Agricultura Digital.
Data corrente: | 05/05/2014
Data da última atualização: | 08/01/2020
Autoria: | CASTRO, A. de.
Afiliação: | ALEXANDRE DE CASTRO, CNPTIA.
Título: | A Shannon-like solution for the fundamental equation of information science.
Ano de publicação: | 2014
Fonte/Imprenta: | In: TRIPATHY, B. K.; ACHARIVA, D. P. Global trends in intelligent computing research and development. Hershey: Information Science Reference, 2014. ch. 18.
Páginas: | p. 516-524.
Série: | (Advances in computacional intelligence and robotics).
ISBN: | 978-1-4666-4936-1
DOI: | 10.4018/978-1-4666-4936-1.ch018
Idioma: | Inglês
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.
Palavras-Chave: | Conhecimento; Equação da ciência da informação; Inteligência artificial; Inteligência computacional.
Thesaurus Nal: | Artificial intelligence; Information science; Knowledge.
Categoria do assunto: | X Pesquisa, Tecnologia e Engenharia
Registro original: | Embrapa Agricultura Digital (CNPTIA)
Exemplares: | CNPTIA - (17940-1) - UPC - PL - DD -  -  -  - DIS