Convergence strategies for theory assessment.
1Department of Humanities and Philosophy, University of Florence, via della Pergola 60, 50121, Firenze, Italy.
Studies in History and Philosophy of Science
|March 14, 2024
Summary
This study examines convergence arguments in scientific theory assessment, distinguishing between robustness and consilience strategies. Evaluating these arguments, crucial for theory acceptance, depends on their interpretation.
Area of Science:
- Philosophy of Science
- Scientific Methodology
- Theoretical Physics
Background:
- Convergence arguments are widely used in assessing scientific theories.
- Existing literature lacks clear distinctions between different convergence strategies.
- Understanding these strategies is key to evaluating theory acceptance.
Purpose of the Study:
- To analyze the role of convergence arguments in theory assessment.
- To introduce new distinctions between robustness and consilience convergence strategies.
- To examine the impact of interpretation on the evaluation of convergence arguments.
Main Methods:
- Distinguishing and categorizing different types of convergence strategies.
- Detailed case studies of a robustness argument (Perrin's Avogadro number) and a consilience argument (extra-dimension conjecture).
- Analysis of empirical vs. theoretical convergence in case studies.
Main Results:
- Introduced novel distinctions between robustness and consilience convergence arguments.
- Demonstrated differences in empirical and theoretical convergence strategies.
- Highlighted that the interpretation of convergence arguments significantly impacts theory assessment.
Conclusions:
- The effectiveness of convergence arguments in theory assessment is interpretation-dependent.
- New distinctions clarify the application of robustness and consilience in science.
- This framework aids in a more nuanced evaluation of scientific theories.
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