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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Probabilidade e raciocínio científico : um exame crítico da abordagem bayesiana de Howson & Urbach

Hermann, Breno 07 1900 (has links)
Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Humanas Programa de Pós-Graduação em Filosofia, 2013. / Submitted by Alaíde Gonçalves dos Santos (alaide@unb.br) on 2014-01-21T13:12:09Z No. of bitstreams: 1 2013_BrenoHermann.pdf: 1139158 bytes, checksum: 2aa0536c3b932d6d0a15150a1ba01f7a (MD5) / Approved for entry into archive by Guimaraes Jacqueline(jacqueline.guimaraes@bce.unb.br) on 2014-02-12T11:13:47Z (GMT) No. of bitstreams: 1 2013_BrenoHermann.pdf: 1139158 bytes, checksum: 2aa0536c3b932d6d0a15150a1ba01f7a (MD5) / Made available in DSpace on 2014-02-12T11:13:47Z (GMT). No. of bitstreams: 1 2013_BrenoHermann.pdf: 1139158 bytes, checksum: 2aa0536c3b932d6d0a15150a1ba01f7a (MD5) / Este trabalho é uma investigação crítica da aplicação dos métodos probabilísticos para analisar o raciocínio científico, conforme o enfoque bayesiano proposto por Colin Howson e Peter Urbach no livro Scientific Reasoning – the Bayesian approach. Além da proposta dos dois autores, são apresentadas críticas ao bayesianismo, tanto aquelas respondidas por Howson e Urbach quanto as que não foram por eles consideradas. De modo a permitir uma melhor compreensão do bayesianismo, este é contrastado com a proposta teórica alternativa formulada por Deborah Mayo e conhecida como estatística do erro. O trabalho conclui pela importância do bayesianismo como instrumento de análise do raciocínio científico, sem prejuízo do fato de que algumas das críticas que lhe são dirigidas ainda carecem de respostas mais consistentes. _______________________________________________________________________________________ ABSTRACT / This dissertation is a critical investigation of the use of probabilistic methods to analyze scientific reasoning as proposed by Colin Howson and Peter Urbach in the book Scientific Reasoning – the Bayesian approach. In addition to the Bayesian approach of the two authors, both the criticisms addressed by them and the criticisms they have not taken into consideration are also presented. In order to allow a better understanding of the Bayesian approach, a contrast with the alternative theoretical approach elaborated by Deborah Mayo and known as error statistics is made. The dissertation contends that Bayesianism is still an important approach to investigate scientific reasoning, notwithstanding the fact that some criticisms still lack a coherent Bayesian response.

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