Theory and Decision 25 (1):25-78 (1988)
Abstract |
Behaviour norms are considered for decision trees which allow both objective probabilities and uncertain states of the world with unknown probabilities. Terminal nodes have consequences in a given domain. Behaviour is required to be consistent in subtrees. Consequentialist behaviour, by definition, reveals a consequence choice function independent of the structure of the decision tree. It implies that behaviour reveals a revealed preference ordering satisfying both the independence axiom and a novel form of sure-thing principle. Continuous consequentialist behaviour must be expected utility maximizing. Other plausible assumptions then imply additive utilities, subjective probabilities, and Bayes' rule
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Keywords | Expected utility subjective probability decision trees Bayes' rule consequentialist behaviour |
Categories | (categorize this paper) |
DOI | 10.1007/bf00129168 |
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References found in this work BETA
Utilitarianism: For and Against.J. J. C. Smart & Bernard Williams - 1973 - Cambridge: Cambridge University Press.
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Citations of this work BETA
Knowledge, Bets, and Interests.Brian Weatherson - 2012 - In Jessica Brown & Mikkel Gerken (eds.), Knowledge Ascriptions. Oxford University Press. pp. 75--103.
Decision Theory.Johanna Thoma - 2019 - In Richard Pettigrew & Jonathan Weisberg (eds.), The Open Handbook of Formal Epistemology. PhilPapers Foundation. pp. 57-106.
Rational Credence and the Value of Truth.Allan Gibbard - 2007 - In Tamar Szabo Gendler & John Hawthorne (eds.), Oxford Studies in Epistemology: Volume 2. Oxford University Press.
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