Complementary Frameworks of Scientific Inquiry: Hypothetico-Deductive, Hypothetico-Inductive, and Observational-Inductive.

The 20th century philosophy of science began on a positivistic note. Its focal point was scientific explanation and the hypothetico-deductive (HD) framework of explanation was proposed as the standard of what is meant by “science.” HD framework, its inductive and statistical variants, and other logi...

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Publicado en:World Futures: The Journal of General Evolution Vol. 65; no. 1; pp. 61 - 76
Autores principales: Mahootian, Farzad, Eastman, Timothy E.
Formato: Artículo
Publicado: Taylor & Francis Ltd Jan2009
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Complementary Frameworks of Scientific Inquiry: Hypothetico-Deductive, Hypothetico-Inductive, and Observational-Inductive.
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          Mahootian, Farzad
          Eastman, Timothy E.
        affil:
          School of Letters and Sciences, Arizona State University, Phoenix, Arizona, USA
          Plasmas International, Silver Spring, Maryland, USA
      su:
        Practice (Philosophy)
        Question (Logic)
        Philosophy & science
        Power (Philosophy)
        Logic
      sug:
        subj:
          Practice (Philosophy)
          Question (Logic)
          Philosophy & science
          Power (Philosophy)
          Logic
      keyword:
        Abduction
        Bacon
        induction
        knowledge discovery
        logic of discovery
        observational inductive
        Peirce
        scientific explanation
        scientific inquiry
        Whitehead
      ab: The 20th century philosophy of science began on a positivistic note. Its focal point was scientific explanation and the hypothetico-deductive (HD) framework of explanation was proposed as the standard of what is meant by “science.” HD framework, its inductive and statistical variants, and other logic-based approaches to modeling scientific explanation were developed long before the dawn of the information age. Since that time, the volume of observational data and power of high performance computing have increased by several orders of magnitude and reshaped the practice and concept of science, and indeed, the philosophy of science. A new observational-inductive (OI) framework for scientific research is emerging due to recent developments in sensors, data systems, computers, and knowledge discovery techniques. We examine the nature of these changes and their impact on the question of what is meant by “science” after discussing five examples of the OI framework, and conclude that the HD and OI frameworks are complementary and synergistic.
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      src: R
    language: English
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