Counterfactual Desirability

British Journal for the Philosophy of Science 68 (2):485-533 (2017)
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Abstract

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 end the paper by investigating the conditions necessary and sufficient for a desirability function to be an expected utility. It turns out that the additional conditions imply highly implausible epistemic principles.

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Author Profiles

Richard Bradley
London School of Economics
H. Orri Stefansson
Stockholm University

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References found in this work

The Foundations of Statistics.Leonard Savage - 1954 - Wiley Publications in Statistics.
Risk and Rationality.Lara Buchak - 2013 - Oxford, GB: Oxford University Press.
Philosophical Guide to Conditionals.Jonathan Bennett - 2003 - Oxford, GB: Oxford University Press UK.
The Foundations of Statistics.Leonard J. Savage - 1954 - Synthese 11 (1):86-89.

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