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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Entropy: From Thermodynamics to Information Processing

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Autor(es):
Natal, Jordao [1] ; Avila, Ivonete [2] ; Tsukahara, Victor Batista [1] ; Pinheiro, Marcelo [3] ; Maciel, Carlos Dias [1]
Número total de Autores: 5
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Dept Elect & Comp Engn, Signal Proc Lab, BR-3566590 Sao Carlos - Brazil
[2] State Univ Sao Paulo Unesp, Sch Engn, Dept Energy, Lab Combust & Carbon Captur, BR-3566590 Sao Carlos - Brazil
[3] Versatus Studio, BR-4011002 Sao Carlos - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo de Revisão
Fonte: Entropy; v. 23, n. 10 OCT 2021.
Citações Web of Science: 0
Resumo

Entropy is a concept that emerged in the 19th century. It used to be associated with heat harnessed by a thermal machine to perform work during the Industrial Revolution. However, there was an unprecedented scientific revolution in the 20th century due to one of its most essential innovations, i.e., the information theory, which also encompasses the concept of entropy. Therefore, the following question is naturally raised: ``what is the difference, if any, between concepts of entropy in each field of knowledge? `` There are misconceptions, as there have been multiple attempts to conciliate the entropy of thermodynamics with that of information theory. Entropy is most commonly defined as ``disorder ``, although it is not a good analogy since ``order `` is a subjective human concept, and ``disorder `` cannot always be obtained from entropy. Therefore, this paper presents a historical background on the evolution of the term ``entropy ``, and provides mathematical evidence and logical arguments regarding its interconnection in various scientific areas, with the objective of providing a theoretical review and reference material for a broad audience.</p> (AU)

Processo FAPESP: 18/19150-6 - Resiliência de sistemas complexos com o uso de redes bayesianas dinâmicas: uma abordagem probabilística
Beneficiário:Carlos Dias Maciel
Modalidade de apoio: Bolsas no Exterior - Pesquisa
Processo FAPESP: 14/50851-0 - INCT 2014: Instituto Nacional de Ciência e Tecnologia para Sistemas Autônomos Cooperativos Aplicados em Segurança e Meio Ambiente
Beneficiário:Marco Henrique Terra
Modalidade de apoio: Auxílio à Pesquisa - Temático