Desirability foundations of robust rational decision making

Synthese 198 (Suppl 27):6529-6570 (2018)
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Abstract

Recent work has formally linked the traditional axiomatisation of incomplete preferences à la Anscombe-Aumann with the theory of desirability developed in the context of imprecise probability, by showing in particular that they are the very same theory. The equivalence has been established under the constraint that the set of possible prizes is finite. In this paper, we relax such a constraint, thus de facto creating one of the most general theories of rationality and decision making available today. We provide the theory with a sound interpretation and with basic notions, and results, for the separation of beliefs and values, and for the case of complete preferences. Moreover, we discuss the role of conglomerability for the presented theory, arguing that it should be a rationality requirement under very broad conditions.

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Citations of this work

Incomplete Preference and Indeterminate Comparative Probabilities.Yang Liu - 2022 - British Journal for the Philosophy of Science 73 (3):795-810.

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References found in this work

The Foundations of Statistics.Leonard Savage - 1954 - Wiley Publications in Statistics.
The Foundations of Statistics.Leonard J. Savage - 1954 - Synthese 11 (1):86-89.
The Foundations of Statistics.Leonard J. Savage - 1956 - Philosophy of Science 23 (2):166-166.

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