Conclusion
Contrary to what has been widely supposed, Bayesian theory deals successfully with the introduction of new theories that have never previously been entertained. The theory enables us to say what sorts of method should be used to assign probabilities to these new theories, and it allows that the probabilities of existing theories may be modified as a result.
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References
Chihara, Charles S. (1987) “Some Problems for Bayesian Confirmation Theory”,British Journal for the Philosophy of Science 38, 551–560.
Dorling, Jon (1991) “Reasoning from Phenomena: Lessons from Newton”, in Arthur Fine, Micky Forbes and Linda Wessels (eds.)PSA 1990 vol. 3. East Lansing: Philosophy of Science Association, pp. 197–208.
Earman, John (1992)Bayes or Bust? Cambridge, Mass.: MIT Press.
Jeffrey, Richard C. (1965)The Logic of Decision, New York: McGraw-Hill. Second edition, University of Chicago Press, 1983.
Li, Ming and Vitányi, Paul M. B. (1989) “Inductive Reasoning and Kolmogorov Complexity”,Proceedings of the 4th IEEE Structure in Complexity Theory Conference, pp. 165–185.
Maher, Patrick (1990) “Symptomatic Acts and the Value of Evidence in Causal Decision Theory”,Philosophy of Science 57, 479–498.
Maher, Patrick (1993)Betting on Theories. New York: Cambridge University Press.
Skyrms, Brian (1980) “Higher Order Degrees of Belief”, in D. H. Mellor (ed.)Prospects for Pragmatism. Cambridge: Cambridge University Press, pp. 109–137.
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Maher, P. Probabilities for new theories. Philos Stud 77, 103–115 (1995). https://doi.org/10.1007/BF00996314
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DOI: https://doi.org/10.1007/BF00996314