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Evaluating Formal Models of Science
- Author(s):
- Mike Thicke (see profile)
- Date:
- 2019
- Subject(s):
- Philosophy, Science--Philosophy
- Item Type:
- Article
- Tag(s):
- Epistemology, Philosophy of science
- Permanent URL:
- http://dx.doi.org/10.17613/w3jm-5g35
- Abstract:
- This paper presents an account of how to evaluate formal models of science: models and simulations in social epistemology designed to draw normative conclusions about the social structure of scientific research. I argue that such models should be evaluated according to their representational and predictive accuracy. Using these criteria and comparisons with familiar models from science, I argue that most formal models of science are incapable of supporting normative conclusions.
- Metadata:
- xml
- Published as:
- Journal article Show details
- Pub. DOI:
- 10.1007/s10838-018-9440-1
- Publisher:
- Springer Science and Business Media LLC
- Pub. Date:
- 2019-2-1
- Journal:
- Journal for General Philosophy of Science
- Volume:
- 51
- Issue:
- 2
- Page Range:
- 315 - 335
- ISSN:
- 0925-4560,1572-8587
- Status:
- Published
- Last Updated:
- 3 years ago
- License:
- All Rights Reserved
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