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  1. A Gentle Approach to Imprecise Probabilities.Gregory Wheeler - 2022 - In Thomas Augustin, Fabio Gagliardi Cozman & Gregory Wheeler (eds.), Reflections on the Foundations of Probability and Statistics: Essays in Honor of Teddy Seidenfeld. Springer. pp. 37-67.
    The field of of imprecise probability has matured, in no small part because of Teddy Seidenfeld’s decades of original scholarship and essential contributions to building and sustaining the ISIPTA community. Although the basic idea behind imprecise probability is (at least) 150 years old, a mature mathematical theory has only taken full form in the last 30 years. Interest in imprecise probability during this period has also grown, but many of the ideas that the mature theory serves can be difficult to (...)
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  • Desirability foundations of robust rational decision making.Marco Zaffalon & Enrique Miranda - 2018 - Synthese 198 (Suppl 27):6529-6570.
    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 (...)
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  • Multi-agent Logics for Reasoning About Higher-Order Upper and Lower Probabilities.Dragan Doder, Nenad Savić & Zoran Ognjanović - 2020 - Journal of Logic, Language and Information 29 (1):77-107.
    We present a propositional and a first-order logic for reasoning about higher-order upper and lower probabilities. We provide sound and complete axiomatizations for the logics and we prove decidability in the propositional case. Furthermore, we show that the introduced logics generalize some existing probability logics.
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  • Probability and time.Marco Zaffalon & Enrique Miranda - 2013 - Artificial Intelligence 198 (C):1-51.
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