Against conditionalization

@article{Bacchus2004AgainstC,
  title={Against conditionalization},
  author={Fahiem Bacchus and Henry E. Kyburg and Mariam Thalos},
  journal={Synthese},
  year={2004},
  volume={85},
  pages={475-506}
}
Bayesian epistemology is marked by a scruple for compliance with the probability axioms. One cornerstone of Bayesian epistemology is the doctrine of personalism, the view according to which an agent's beliefs are not the mechanical result of conditionalizing a logical probability over her total history of observational experience. Another cornerstone of Bayesian epistemology is the teaching that since personalism is true, epistemic injunctions must be issued to rational agents to procure their… Expand
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References

SHOWING 1-10 OF 28 REFERENCES
Conditionalization and observation
I take bayesianism to be the doctrine which maintains that (i) a set of reasonable beliefs can be represented by a probability function defined over sentences or propositions, and that (ii)Expand
Dutch Bookies and Money Pumps
C ONCLUSIVE arguments in philosophy are rare, so any such argument we find we prize. If it is not only conclusive but clever, all the better for it. The Dutch book arguments of the theory ofExpand
Calibration, Coherence, and Scoring Rules
TLDR
Surveys designed to display calibration curves, from which a recalibration is to be calculated, are useless without due consideration for the interconnections between questions (forecasts) in the survey. Expand
Belief and Will
absolutely right or wrong? because no moral legislation has its basis in pure ethics. But the pertinent questions are: Will prohibitory legislation, if enacted, do harm or good ? Will it educate theExpand
CONFIRMATION AND THE DUTCH BOOK ARGUMENT*
  • P. Baillie
  • Philosophy
  • The British Journal for the Philosophy of Science
  • 1973
I In 1955 papers by Kemeny, Shimony and Lehman appeared which purport to establish the probability axioms as the axioms of confirmation.' The three articles are adaptations of the Dutch Book ArgumentExpand
The logical foundations of statistical inference
the logical foundations of statistical interference. Book lovers, when you need a new book to read, find the book here. Never worry not to find what you need. Is the the logical foundations ofExpand
Subjective probability: Considerations, re ections, and problems
  • Journal of Philosophical Logic,
  • 1978
Dynamic coherence
  • Foundations of Statistical Inference, pages 233{243. Reidel
  • 1987
Dynamic coherence. In MacNeill and Umphrey, editors, Foundations of Statistical Inference, pages 233{243
  • Reidel, Dordrecht,
  • 1987
Re ections of two principles of bayesian epistemology
  • In APA Eastern Division Colloquium on Logic, Probability and Methodology,
  • 1987
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2
3
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