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  1. In philosophical defence of Bayesian rationality.Jon Dorling - 1983 - Behavioral and Brain Sciences 6 (2):249-250.
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  • The long and short of it: Closing the description-experience “gap” by taking the long-run view.Adrian R. Camilleri & Ben R. Newell - 2013 - Cognition 126 (1):54-71.
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  • How to do things with sunk costs.Michael Zhao - forthcoming - Noûs.
    It is a commonplace in economics that we should disregard sunk costs. The sunk cost effect might be widespread, goes the conventional wisdom, but we would be better off if we could rid ourselves of it. In this paper, I argue against the orthodoxy by showing that the sunk cost effect is often beneficial. Drawing on discussions of related topics in dynamic choice theory, I show that, in a range of cases, being disposed to honor sunk costs allows an agent (...)
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  • What we bet on is not only tangible money, but also good mood.Hui-Fang Guo, Rui Tao, Ning Zhao, Hai-Ping Chen, Rui Zheng & L. I. Shu - 2022 - Cognition and Emotion 36 (7):1404-1419.
    A surprisingly large number of lottery prizes go unclaimed every year. This leads us to suspect that what people bet on is not only money, but also good mood. We conducted three studies to explain, from an emotional perspective, why people play lottery games. We first conducted two survey studies to assess mood state reported by online (Study 1a) and offline lottery buyers (Study 1b) at different stages of lottery play. The results revealed that participants’ highest mood appeared before knowing (...)
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  • Non-Measurability, Imprecise Credences, and Imprecise Chances.Yoaav Isaacs, Alan Hájek & John Hawthorne - 2021 - Mind 131 (523):892-916.
    – We offer a new motivation for imprecise probabilities. We argue that there are propositions to which precise probability cannot be assigned, but to which imprecise probability can be assigned. In such cases the alternative to imprecise probability is not precise probability, but no probability at all. And an imprecise probability is substantially better than no probability at all. Our argument is based on the mathematical phenomenon of non-measurable sets. Non-measurable propositions cannot receive precise probabilities, but there is a natural (...)
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  • Risk aversion and elite‐group ignorance.David Kinney & Liam Kofi Bright - 2021 - Philosophy and Phenomenological Research 106 (1):35-57.
    Critical race theorists and standpoint epistemologists argue that agents who are members of dominant social groups are often in a state of ignorance about the extent of their social dominance, where this ignorance is explained by these agents' membership in a socially dominant group (e.g., Mills 2007). To illustrate this claim bluntly, it is argued: 1) that many white men do not know the extent of their social dominance, 2) that they remain ignorant as to the extent of their dominant (...)
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  • Can risk aversion survive the long run?Hayden Wilkinson - 2022 - Philosophical Quarterly 73 (2):625-647.
    Can it be rational to be risk-averse? It seems plausible that the answer is yes—that normative decision theory should accommodate risk aversion. But there is a seemingly compelling class of arguments against our most promising methods of doing so. These long-run arguments point out that, in practice, each decision an agent makes is just one in a very long sequence of such decisions. Given this form of dynamic choice situation, and the (Strong) Law of Large Numbers, they conclude that those (...)
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  • The Tragedy of the Risk Averse.H. Orri Stefánsson - 2020 - Erkenntnis 88 (1):351-364.
    Those who are risk averse with respect to money, and thus turn down some gambles with positive monetary expectations, are nevertheless often willing to accept bundles involving multiple such gambles. Therefore, it might seem that such people should become more willing to accept a risky but favourable gamble if they put it in context with the collection of gambles that they predict they will be faced with in the future. However, it turns out that when a risk averse person adopts (...)
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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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  • Morality Under Risk.Chad Lee-Stronach - 2019 - Dissertation,
    Many argue that absolutist moral theories -- those that prohibit particular kinds of actions or trade-offs under all circumstances -- cannot adequately account for the permissibility of risky actions. In this dissertation, I defend various versions of absolutism against this critique, using overlooked resources from formal decision theory. Against the prevailing view, I argue that almost all absolutist moral theories can give systematic and plausible verdicts about what to do in risky cases. In doing so, I show that critics have (...)
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  • Is risk aversion irrational? Examining the “fallacy” of large numbers.H. Orri Stefánsson - 2020 - Synthese 197 (10):4425-4437.
    A moderately risk averse person may turn down a 50/50 gamble that either results in her winning $200 or losing $100. Such behaviour seems rational if, for instance, the pain of losing $100 is felt more strongly than the joy of winning $200. The aim of this paper is to examine an influential argument that some have interpreted as showing that such moderate risk aversion is irrational. After presenting an axiomatic argument that I take to be the strongest case for (...)
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  • Risk aversion and the long run.Johanna Thoma - 2018 - Ethics 129 (2):230-253.
    This article argues that Lara Buchak’s risk-weighted expected utility (REU) theory fails to offer a true alternative to expected utility theory. Under commonly held assumptions about dynamic choice and the framing of decision problems, rational agents are guided by their attitudes to temporally extended courses of action. If so, REU theory makes approximately the same recommendations as expected utility theory. Being more permissive about dynamic choice or framing, however, undermines the theory’s claim to capturing a steady choice disposition in the (...)
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  • A second-generation disappointment aversion theory of decision making under risk.Pavlo Blavatskyy - 2018 - Theory and Decision 84 (1):29-60.
    This paper presents a new decision theory for modelling choice under risk. The new theory is a two-parameter generalization of expected utility theory. The proposed theory assumes that a decision maker: behaves as if maximizing expected utility; but may experience disappointment when the utility of a lottery’s outcome falls short of the expected utility of the lottery; and may have a preference for gambling. The proposed theory can rationalize the fourfold pattern of risk attitudes; the common ratio effect and the (...)
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  • Risky business: rhesus monkeys exhibit persistent preferences for risky options.Eric R. Xu & Jerald D. Kralik - 2014 - Frontiers in Psychology 5.
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  • How short- and long-run aspirations impact search and choice in decisions from experience.Dirk U. Wulff, Thomas T. Hills & Ralph Hertwig - 2015 - Cognition 144 (C):29-37.
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  • Which comes first: Logic or rationality?P. N. Johnson-Laird - 1983 - Behavioral and Brain Sciences 6 (2):252-253.
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  • Philosophical arguments, psychological experiments, and the problem of consistency.D. Kahneman - 1983 - Behavioral and Brain Sciences 6 (2):253-254.
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  • Conjunctive bliss.Isaac Levi - 1983 - Behavioral and Brain Sciences 6 (2):254-255.
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  • Psychological objectives for logical theories.J. St B. T. Evans - 1983 - Behavioral and Brain Sciences 6 (2):250-250.
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  • Kyburg on practical certainty.Willam L. Harper - 1983 - Behavioral and Brain Sciences 6 (2):251-252.
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  • Logic and probability theory versus canons of rationality.Gilbert Harman - 1983 - Behavioral and Brain Sciences 6 (2):251-251.
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  • To err is human.Maya Bar-Hillel & Avishai Margalit - 1983 - Behavioral and Brain Sciences 6 (2):246-248.
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  • Belief, acceptance, and probability.L. Jonathan Cohen - 1983 - Behavioral and Brain Sciences 6 (2):248-249.
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  • Human rationality: Essential conflicts, multiple ideals.Jonathan E. Adler - 1983 - Behavioral and Brain Sciences 6 (2):245-246.
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  • Rational belief.Henry E. Kyburg - 1983 - Behavioral and Brain Sciences 6 (2):231-245.
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  • The role of logic in reason, inference, and decision.Henry E. Kyburg - 1983 - Behavioral and Brain Sciences 6 (2):263-273.
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  • Contrapositivism; or, The only evidence worth paying for is contained in the negatives.David Miller - 1983 - Behavioral and Brain Sciences 6 (2):256-257.
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  • Psychology, statistics, and analytical epistemology.Richard E. Nisbett & Paul Thagard - 1983 - Behavioral and Brain Sciences 6 (2):257-258.
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  • Confirming confirmation bias.P. Pollard - 1983 - Behavioral and Brain Sciences 6 (2):258-259.
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  • The logic is in the representation.Russell Revlin - 1983 - Behavioral and Brain Sciences 6 (2):259-259.
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  • Decisions with indeterminate probabilities.Teddy Seidenfeld - 1983 - Behavioral and Brain Sciences 6 (2):259-261.
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  • Kyburg on ignoring base rates.Stephen Spielman - 1983 - Behavioral and Brain Sciences 6 (2):261-262.
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  • Psychology and the foundations of rational belief.Ryan D. Tweney, Michael E. Doherty & Clifford R. Mynatt - 1983 - Behavioral and Brain Sciences 6 (2):262-263.
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  • Normative theories of rationality: Occam's razor, Procrustes' bed?Lola L. Lopes - 1983 - Behavioral and Brain Sciences 6 (2):255-256.
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  • Capitalization in the St. Petersburg game: Why statistical distributions matter.Mariam Thalos & Oliver Richardson - 2014 - Politics, Philosophy and Economics 13 (3):292-313.
    In spite of its infinite expectation value, the St. Petersburg game is not only a gamble without supply in the real world, but also one without demand at apparently very reasonable asking prices. We offer a rationalizing explanation of why the St. Petersburg bargain is unattractive on both sides (to both house and player) in the mid-range of prices (finite but upwards of about $4). Our analysis – featuring (1) the already-established fact that the average of finite ensembles of the (...)
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  • Action theory as a resource for decision theory.Robert Audi - 1986 - Theory and Decision 20 (3):207-221.
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