Assessing Scientific Theories: The Bayesian Approach

In Dawid Richard, Dardashti Radin & Thebault Karim (eds.), Epistemology of Fundamental Physics: Why Trust a Theory? Cambridge University Press. pp. 67–83 (2019)
  Copy   BIBTEX

Abstract

Scientific theories are used for a variety of purposes. For example, physical theories such as classical mechanics and electrodynamics have important applications in engineering and technology, and we trust that this results in useful machines, stable bridges, and the like. Similarly, theories such as quantum mechanics and relativity theory have many applications as well. Beyond that, these theories provide us with an understanding of the world and address fundamental questions about space, time, and matter. Here we trust that the answers scientific theories give are reliable and that we have good reason to believe that the features of the world are similar to what the theories say about them. But why do we trust scientific theories, and what counts as evidence in favor of them?

Links

PhilArchive

External links

  • This entry has no external links. Add one.
Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Bayesian Philosophy of Science.Jan Sprenger & Stephan Hartmann - 2019 - Oxford and New York: Oxford University Press.
Bayesian Cognitive Science, Monopoly, and Neglected Frameworks.Matteo Colombo & Stephan Hartmann - 2015 - British Journal for the Philosophy of Science 68 (2):451–484.
Being Realist about Bayes, and the Predictive Processing Theory of Mind.Matteo Colombo, Lee Elkin & Stephan Hartmann - 2021 - British Journal for the Philosophy of Science 72 (1):185-220.
Bayesian Epistemology.Luc Bovens & Stephan Hartmann - 2003 - Oxford: Oxford University Press. Edited by Stephan Hartmann.
Scientific reasoning: the Bayesian approach.Peter Urbach & Colin Howson - 1993 - Chicago: Open Court. Edited by Peter Urbach.
Scientific Representation and Science Learning.Corrado Matta - 2014 - Open Review of Educational Research 1 (1):211-231.
Assessing theories, Bayes style.Franz Huber - 2008 - Synthese 161 (1):89-118.

Analytics

Added to PP
2020-04-19

Downloads
274 (#73,502)

6 months
76 (#63,714)

Historical graph of downloads
How can I increase my downloads?

Author Profiles

Stephan Hartmann
Ludwig Maximilians Universität, München
Radin Dardashti
Ludwig Maximilians Universität, München

Citations of this work

Meta-Empirical Support for Eliminative Reasoning.C. D. McCoy - 2021 - Studies in History and Philosophy of Science Part A 90:15-29.
On the Limits of Experimental Knowledge.Peter Evans & Karim P. Y. Thebault - 2020 - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378 (2177).

Add more citations

References found in this work

Bayesian Epistemology.Luc Bovens & Stephan Hartmann - 2003 - Oxford: Oxford University Press. Edited by Stephan Hartmann.
Accuracy and the Laws of Credence.Richard Pettigrew - 2016 - New York, NY.: Oxford University Press UK.
Scientific reasoning: the Bayesian approach.Peter Urbach & Colin Howson - 1993 - Chicago: Open Court. Edited by Peter Urbach.

View all 19 references / Add more references