Causal Decision Theory and EPR correlations

Synthese 191 (18):4315-4352 (2014)
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Abstract

The paper argues that on three out of eight possible hypotheses about the EPR experiment we can construct novel and realistic decision problems on which (a) Causal Decision Theory and Evidential Decision Theory conflict (b) Causal Decision Theory and the EPR statistics conflict. We infer that anyone who fully accepts any of these three hypotheses has strong reasons to reject Causal Decision Theory. Finally, we extend the original construction to show that anyone who gives any of the three hypotheses any non-zero credence has strong reasons to reject Causal Decision Theory. However, we concede that no version of the Many Worlds Interpretation (Vaidman, in Zalta, E.N. (ed.), Stanford Encyclopaedia of Philosophy 2014) gives rise to the conflicts that we point out

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Author Profiles

Arif Ahmed
Cambridge University
Adam Caulton
Oxford University

References found in this work

Counterfactuals.David K. Lewis - 1973 - Malden, Mass.: Blackwell.
The Foundations of Statistics.Leonard J. Savage - 1954 - Wiley Publications in Statistics.
The direction of time.Hans Reichenbach - 1956 - Mineola, N.Y.: Dover Publications. Edited by Maria Reichenbach.
Counterfactuals.David Lewis - 1973 - Tijdschrift Voor Filosofie 36 (3):602-605.

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