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Decision Theory

In Christopher Hitchcock & Alan Hajek (eds.), Oxford Handbook of Probability and Philosophy. Oxford University Press (2016)

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  1. Normative decision analysis in forensic science.A. Biedermann, S. Bozza & F. Taroni - 2020 - Artificial Intelligence and Law 28 (1):7-25.
    This paper focuses on the normative analysis—in the sense of the classic decision-theoretic formulation—of decision problems that arise in connection with forensic expert reporting. We distinguish this analytical account from other common types of decision analyses, such as descriptive approaches. While decision theory is, since several decades, an extensively discussed topic in legal literature, its use in forensic science is more recent, and with an emphasis on goals such as the analysis of the logical structure of forensic expert conclusions regarding, (...)
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  • Decisional Dimensions in Expert Witness Testimony – A Structural Analysis.Alex Biedermann & Kyriakos N. Kotsoglou - 2018 - Frontiers in Psychology 9.
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  • Yet Another “Epicurean” Argument.Peter Finocchiaro & Meghan Sullivan - 2016 - Philosophical Perspectives 30 (1):135-159.
    In this paper, we develop a novel version of the so-called Lucretian symmetry argument against the badness of death. Our argument has two features that make it particularly effective. First, it focuses on the preferences of rational agents. We believe the focus on preferences eliminates needless complications and emphasizes the urgency to respond to the argument. Second, our argument utilizes a principle that states that a rational agent's preferences should not vary in arbitrary ways. We argue that this principle underlies (...)
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  • Measuring Belief and Risk Attitude.Sven Neth - 2019 - Electronic Proceedings in Theoretical Computer Science 297:252–272.
    Ramsey (1926) sketches a proposal for measuring the subjective probabilities of an agent by their observable preferences, assuming that the agent is an expected utility maximizer. I show how to extend the spirit of Ramsey's method to a strictly wider class of agents: risk-weighted expected utility maximizers (Buchak 2013). In particular, I show how we can measure the risk attitudes of an agent by their observable preferences, assuming that the agent is a risk-weighted expected utility maximizer. Further, we can leverage (...)
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  • Decision Theory.Johanna Thoma - 2019 - In Richard Pettigrew & Jonathan Weisberg (eds.), The Open Handbook of Formal Epistemology. PhilPapers Foundation. pp. 57-106.
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  • Probability in Ethics.David McCarthy - 2016 - In Alan Hájek & Christopher Hitchcock (eds.), The Oxford Handbook of Philosophy and Probability. Oxford University Press. pp. 705–737.
    The article is a plea for ethicists to regard probability as one of their most important concerns. It outlines a series of topics of central importance in ethical theory in which probability is implicated, often in a surprisingly deep way, and lists a number of open problems. Topics covered include: interpretations of probability in ethical contexts; the evaluative and normative significance of risk or uncertainty; uses and abuses of expected utility theory; veils of ignorance; Harsanyi’s aggregation theorem; population size problems; (...)
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