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  1. Counterfactual Desirability.Richard Bradley & H. Orii Stefansson - 2017 - British Journal for the Philosophy of Science 68 (2):485-533.
    The desirability of what actually occurs is often influenced by what could have been. Preferences based on such value dependencies between actual and counterfactual outcomes generate a class of problems for orthodox decision theory, the best-known perhaps being the so-called Allais Paradox. In this paper we solve these problems by extending Richard Jeffrey's decision theory to counterfactual prospects, using a multidimensional possible-world semantics for conditionals, and showing that preferences that are sensitive to counterfactual considerations can still be desirability maximising. We (...)
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  • Weighing Goods: Equality, Uncertainty and Time.John Broome - 1991 - Wiley-Blackwell.
    This study uses techniques from economics to illuminate fundamental questions in ethics, particularly in the foundations of utilitarianism. Topics considered include the nature of teleological ethics, the foundations of decision theory, the value of equality and the moral significance of a person's continuing identity through time.
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  • Multidimensional Possible-World Semantics for Conditionals.Richard Bradley - 2012 - Philosophical Review 121 (4):539-571.
    Adams’s Thesis, the claim that the probabilities of indicative conditionals equal the conditional probabilities of their consequents given their antecedents, has proven impossible to accommodate within orthodox possible-world semantics. This essay proposes a modification to the orthodoxy that removes this impossibility. The starting point is a proposal by Jeffrey and Stalnaker that conditionals take semantic values in the unit interval, interpreting these (à la McGee) as their expected truth-values at a world. Their theories imply a false principle, namely, that the (...)
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  • Studies in Logical Theory.Nicholas Rescher (ed.) - 1968 - Oxford,: Blackwell.
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  • A Theory of Conditionals.Robert Stalnaker - 1968 - In Nicholas Rescher (ed.), Studies in Logical Theory. Oxford,: Blackwell. pp. 98-112.
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  • Consequentialist Foundations for Expected Utility.Peter J. Hammond - 1988 - Theory and Decision 25 (1):25-78.
    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 (...)
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  • Liberalism, distributive subjectivism, and equal opportunity for welfare.Richard J. Arneson - 1990 - Philosophy and Public Affairs 19 (2):158-194.
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  • (2 other versions)Counterfactuals. [REVIEW]William Parry - 1973 - Journal of Symbolic Logic 44 (2):278-281.
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  • Humean Supervenience and Multidimensional Semantics.Hlynur Stefansson - 2014 - Erkenntnis 79 (6):1391-1406.
    What distinguishes indicative conditionals from subjunctive conditionals, according to one popular view, is that the so-called Adams’ thesis holds for the former kind of conditionals but the so-called Skyrms’ thesis for the latter. According to a plausible metaphysical view, both conditionals and chances supervene on non-modal facts. But since chances do not supervene on facts about particular events but facts about event-types, the past as well as the future is chancy. Some philosophers have worried that this metaphysical view is incompatible (...)
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  • (1 other version)The Foundations of Statistics.Leonard J. Savage - 1956 - Philosophy of Science 23 (2):166-166.
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  • The Logic of Decision.Henry E. Kyburg - 1968 - Philosophical Review 77 (2):250.
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  • A Probabilistic Semantics for Counterfactuals. Part A.Hannes Leitgeb - 2012 - Review of Symbolic Logic 5 (1):26-84.
    This is part A of a paper in which we defend a semantics for counterfactuals which is probabilistic in the sense that the truth condition for counterfactuals refers to a probability measure. Because of its probabilistic nature, it allows a counterfactual ‘ifAthenB’ to be true even in the presence of relevant ‘Aand notB’-worlds, as long such exceptions are not too widely spread. The semantics is made precise and studied in different versions which are related to each other by representation theorems. (...)
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