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Analyses Of Expected Utilities in A Causal Decision Theory*

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Progress in Decision, Utility and Risk Theory

Part of the book series: Theory and Decision Library ((TDLB,volume 13))

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Abstract

Two theorems for analyses of expected utilities under partitions in a causal decision theory are proved. One is restricted to a certain kind of partition of circumstances, and analyzes the utility of an option in terms of its utilities in conjunction with circumstances in this partition. The other analyzes an option’s utility in terms of its utilities conditional on circumstances, and is quite unrestricted. While the first seems more useful for applications, for example in Newcomb’s Problem, the second is of considerable theoretical importance. Comparisons are made with Richard Jeffrey’s evidential decision theory.

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This paper takes material from and at mints elaborates on[6]

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References

  1. Paul Horwich, “Decision Theory in Light of Newcomb’s Philosophy of Science, 1985.

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  2. Richard C. Jeffrey, The Logic of Decision: Second Edition, Chicago, 1983.

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  3. Lewis, D. (1973), Counterfactua1s, Cambridge, Mass.: Harvard University Press

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  4. Jordan Howard Sobel, “Circumstances and Dominance in a Causal Decision Theory”, Synthese, 1985.

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  5. Jordan Howard Sobel, “Notes on Decision Theory: Old Wine in New Bottles,” Australasian Journal of Philosophy, 1986.

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  6. Jordan Howard Sobel, “Partition-Theorems for Causal Decision Theories,” Philosophy of Science, 1989.

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  7. “Metatickles, Ratificationism, and Newcomb-like Problems without Dominance,” Risk, Decision and Rationality, ed. B. R. Munier, D. Reidel 1988.

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© 1991 Springer Science+Business Media Dordrecht

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Sobel, J.H. (1991). Analyses Of Expected Utilities in A Causal Decision Theory*. In: Chikán, A. (eds) Progress in Decision, Utility and Risk Theory. Theory and Decision Library, vol 13. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-3146-9_23

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  • DOI: https://doi.org/10.1007/978-94-011-3146-9_23

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-5387-7

  • Online ISBN: 978-94-011-3146-9

  • eBook Packages: Springer Book Archive

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