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Pragmatic Hypotheses in the Evolution of Science

Esteves, Luis Gustavo and Izbicki, Rafael and Stern, Julio Michael and Stern, Rafael Bassi (2019) Pragmatic Hypotheses in the Evolution of Science. Entropy, 21 (883). pp. 1-17. ISSN 1099-4300

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Abstract

This paper introduces pragmatic hypotheses and relates this concept to the spiral of scientific evolution. Previous works determined a characterization of logically consistent statistical hypothesis tests and showed that the modal operators obtained from this test can be represented in the hexagon of oppositions. However, despite the importance of precise hypotheses in science, they cannot be accepted by logically consistent tests. Here, we show that this dilemma can be overcome by the use of pragmatic versions of precise hypotheses. These pragmatic versions allow a level of imprecision in the hypothesis that is small relative to other experimental conditions. The introduction of pragmatic
hypotheses allow the evolution of scientific theories based on statistical hypothesis testing to be interpreted using the narratological structure of hexagonal spirals, as defined by Pierre Gallais.


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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Esteves, Luis Gustavo
Izbicki, Rafael0000-0003-0379-9690
Stern, Julio Michael0000-0003-2720-3871
Stern, Rafael Bassi0000-0002-4323-4515
Keywords: hypothesis tests; precise hypotheses; pragmatic hypotheses
Subjects: General Issues > Scientific Metaphysics
General Issues > Confirmation/Induction
General Issues > Decision Theory
General Issues > Laws of Nature
Specific Sciences > Probability/Statistics
General Issues > Theory/Observation
Depositing User: Prof. Julio Michael Stern
Date Deposited: 28 Mar 2023 17:13
Last Modified: 28 Mar 2023 17:13
Item ID: 21926
Journal or Publication Title: Entropy
Publisher: MDPI
Official URL: http://doi.org/10.3390/e21090883
DOI or Unique Handle: https://doi.org/10.3390/e21090883
Subjects: General Issues > Scientific Metaphysics
General Issues > Confirmation/Induction
General Issues > Decision Theory
General Issues > Laws of Nature
Specific Sciences > Probability/Statistics
General Issues > Theory/Observation
Date: 2019
Page Range: pp. 1-17
Volume: 21
Number: 883
ISSN: 1099-4300
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/21926

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