Results for 'Preference uncertainty'

994 found
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  1.  11
    Pareto optimal allocation under uncertain preferences: uncertainty models, algorithms, and complexity.Haris Aziz, Péter Biró, Ronald de Haan & Baharak Rastegari - 2019 - Artificial Intelligence 276 (C):57-78.
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  2. Social Preference Under Twofold Uncertainty.Philippe Mongin & Marcus Pivato - forthcoming - Economic Theory.
    We investigate the conflict between the ex ante and ex post criteria of social welfare in a new framework of individual and social decisions, which distinguishes between two sources of uncertainty, here interpreted as an objective and a subjective source respectively. This framework makes it possible to endow the individuals and society not only with ex ante and ex post preferences, as is usually done, but also with interim preferences of two kinds, and correspondingly, to introduce interim forms of (...)
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  3.  93
    Preference for gradual resolution of uncertainty.Martin Ahlbrecht & Martin Weber - 1997 - Theory and Decision 43 (2):167-185.
    Analyses of preference for the timing of uncertainty resolution usually assumes all uncertainty to resolve in one point in time. More realistically, uncertainty should be modelled to resolve gradually over time. Kreps and Porteus (1978) have introduced an axiomatically based model of time preference which can explain preferences for gradual uncertainty resolution. This paper presents an experimental test of the Kreps-Porteus model. We derive implications of the model relating preferences for gradual and one-time resolving (...)
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  4.  19
    When uncertainty is a symptom: intolerance of uncertainty in OCD and ‘irrational’ preferences.Jared Smith - 2023 - Journal of Medical Ethics 49 (11):757-758.
    In ‘Patients, doctors and risk attitudes,’ Makins argues that, when physicians must decide for, or act on behalf of, their patients they should defer to patient risk attitudes for many of the same reasons they defer to patient values, although with a caveat: physicians should defer to the higher-order desires of patients when considering their risk attitudes. This modification of what Makins terms the ‘deference principle’ is primarily driven by potential counterexamples in which a patient has a first-order desire with (...)
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  5.  48
    Combining strength and uncertainty for preferences in the graph model for conflict resolution with multiple decision makers.Haiyan Xu, Keith W. Hipel, D. Marc Kilgour & Ye Chen - 2010 - Theory and Decision 69 (4):497-521.
    A hybrid preference framework is proposed for strategic conflict analysis to integrate preference strength and preference uncertainty into the paradigm of the graph model for conflict resolution (GMCR) under multiple decision makers. This structure offers decision makers a more flexible mechanism for preference expression, which can include strong or mild preference of one state or scenario over another, as well as equal preference. In addition, preference between two states can be uncertain. The (...)
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  6.  49
    Lifetime Uncertainty and Time Preference.Nicolas Drouhin - 2001 - Theory and Decision 51 (2/4):145-172.
    Despite Fisher's (1930) psychological intuitions of and the formal treatment given by Yaari (1965, Review of Economic Studies 32, 137), the intertemporal model of choice is mainly a model with certain lifetime. The purpose of this paper is to reconsider this assumption, starting from a very simple two-period model of choice with lifetime uncertainty. We examine the comparative statics of the model at the first two orders and replace the concept of `pure time preference' by taking into account (...)
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  7. Keynesian Uncertainty and Liquidity Preference.Jochen Runde - 1994 - Cambridge Journal of Economics 18:129--144.
     
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  8.  13
    Appreciating Uncertainty and Personal Preference in Genetic Testing.Adam Kadlac - 2015 - Narrative Inquiry in Bioethics 5 (3):245-249.
    Genetic testing seems to hold out hope for the cure of a number of debilitating conditions. At the same time, many people fear the information that genetic testing can make available. In this commentary, I argue that as of now, the nature of the information revealed in such tests should lead to cautious views about the value of genetic testing. Moreover, I suggest that our overall views about such testing should account for the fact that individuals place different sorts of (...)
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  9. Preference and Uncertainty.Robert Edward Freeman - 1978 - Dissertation, Washington University
     
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  10.  34
    Intensity of preference and related uncertainty in non-compensatory aggregation rules.Giuseppe Munda - 2012 - Theory and Decision 73 (4):649-669.
    Non-compensatory aggregation rules are applied in a variety of problems such as voting theory, multi-criteria analysis, composite indicators, web ranking algorithms and so on. A major open problem is the fact that non-compensability implies the analytical cost of loosing all available information about intensity of preference, i.e. if some variables are measured on interval or ratio scales, they have to be treated as measured on an ordinal scale. Here this problem has been tackled in its most general formulation, that (...)
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  11.  12
    Decision making under uncertainty: the relation between economic preferences and psychological personality traits.David Schröder & Gail Gilboa Freedman - 2020 - Theory and Decision 89 (1):61-83.
    Both economists and psychologists are interested in understanding decision making under uncertainty. Yet, they rely on different concepts to analyse human behaviour: economists use economic preference parameters rooted in utility theory, while psychologists use personality traits to describe responses to uncertain situations. Using a large sample of university students, this study examines and contrasts five economic preference parameters and six psychological personality traits that are commonly used to study individuals’ attitudes towards uncertainty. A novelty of this (...)
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  12.  7
    Qualitative decision theory with preference relations and comparative uncertainty: An axiomatic approach.Didier Dubois, Hélène Fargier & Patrice Perny - 2003 - Artificial Intelligence 148 (1-2):219-260.
  13.  7
    Agents in Discord. On Preference Aggregation under Uncertainty.Ulrich Metschl - 2007 - In Christian Kanzian (ed.), Cultures. Conflict - Analysis - Dialogue: Proceedings of the 29th International Ludwig Wittgenstein-Symposium in Kirchberg, Austria. Walter de Gruyter. pp. 201-210.
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  14.  29
    The ordinal utility under uncertainty and the measure of risk aversion in terms of preferences.Aldo Montesano - 1985 - Theory and Decision 18 (1):73-85.
  15.  56
    A No-Trade Theorem under Knightian Uncertainty with General Preferences.Chenghu Ma - 2001 - Theory and Decision 51 (2/4):173-181.
    This paper derives a no-trade theorem under Knightian uncertainty, which generalizes the theorem of Milgrom and Stokey by allowing general preference relations. It is shown that the no-trade theorem holds true as long as agents' preferences are dynamically consistent in the sense of Machina and Schmeidler, and satisfies the so-called piece-wise monotonicity axiom. A preference satisfying the piece-wise monotonicity axiom does not necessarily imply the additive utility representation, nor is necessarily based on beliefs.
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  16.  8
    Uncertainty in post-Reformation Catholicism: a history of probabilism.Stefania Tutino - 2018 - New York, NY: Oxford University Press.
    Uncertainty in Post-Reformation Catholicism provides a historical account of early modern probabilism and its theological, intellectual, and cultural implications. First developed in the second half of the sixteenth century, probabilism represented a significant and controversial novelty in Catholic moral theology. By the second half of the seventeenth century, probabilism became and has since been associated with moral, intellectual, and cultural decadence. Stefania Tutino challenges this understanding and claims that probabilism played a central role in addressing the challenges that geographical (...)
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  17.  37
    Schur convexity, quasi-convexity and preference for early resolution of uncertainty.Zvi Safra & Eyal Sulganik - 1995 - Theory and Decision 39 (2):213-218.
    This paper deals with decision makers who choose among information systems. It shows that the properties of Schur convexity and of quasi-convexity are equivalent, even when general preferences are considered. Since Schur convexity is closely related to having a willingness to accept information and since quasi-convexity is closely related to having a preference for early resolution of the uncertainty about which information system prevails, then it follows that the equivalence implies that decision makers prefer more information to less (...)
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  18.  20
    Min–max decision rules for choice under complete uncertainty: Axiomatic characterizations for preferences over utility intervals.Jürgen Landes - 2014 - International Journal of Approximate Reasoning 55:1301-1317.
    We introduce two novel frameworks for choice under complete uncertainty. These frameworks employ intervals to represent uncertain utility attaching to outcomes. In the first framework, utility intervals arising from one act with multiple possible outcomes are aggregated via a set-based approach. In the second framework the aggregation of utility intervals employs multi-sets. On the aggregated utility intervals, we then introduce min–max decision rules and lexicographic refinements thereof. The main technical results are axiomatic characterizations of these min–max decision rules and (...)
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  19. Moral uncertainty about population ethics.Hilary Greaves & Toby Ord - forthcoming - Journal of Ethics and Social Philosophy.
    Given the deep disagreement surrounding population axiology, one should remain uncertain about which theory is best. However, this uncertainty need not leave one neutral about which acts are better or worse. We show that as the number of lives at stake grows, the Expected Moral Value approach to axiological uncertainty systematically pushes one towards choosing the option preferred by the Total and Critical Level views, even if one’s credence in those theories is low.
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  20.  79
    Moral Uncertainty About Population Axiology.Hilary Greaves & Toby Ord - 2017 - Journal of Ethics and Social Philosophy 12 (2):135-167.
    Given the deep disagreement surrounding population axiology, one should remain uncertain about which theory is best. However, this uncertainty need not leave one neutral about which acts are better or worse. We show that, as the number of lives at stake grows, the Expected Moral Value approach to axiological uncertainty systematically pushes one toward choosing the option preferred by the Total View and critical-level views, even if one’s credence in those theories is low.
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  21. Empirical Uncertainty and Legal Decision-making.Lucinda Vandervort - 1985 - In Eugenio Bulygin, Jean Louis Gardies & Ilkka Nilniluoto (eds.), LAW AND MODERN FORMS OF LIFE, with an introduction by Michael D. Bayles, volume 1, Law and Philosophy Library, pp. 251-261. D. Reidel Publishing.
    In this paper I argue that the rationality of law and legal decision making would be enhanced by a systematic attempt to recognize and respond to the implications of empirical uncertainty for policy making and decision making. Admission of uncertainty about the accuracy of facts and the validity of assumptions relied on to make inferences of fact is commonly avoided in law because it raises the spectre of paralysis of the capacity to decide issues authoritatively. The roots of (...)
     
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  22.  6
    Uncertainty Aversion Vs. Competence: An Experimental Market Study.Carmela Mauro - 2007 - Theory and Decision 64 (2-3):301-331.
    Heath and Tversky (1991, Journal of Risk and Uncertainty 4:5–28) posed that reaction to ambiguity is driven by perceived competence. Competence effects may be inconsistent with ambiguity aversion if betting on own judgement is preferred to betting on a chance event, because judgemental probabilities are more ambiguous than chance events. This laboratory experiment analyses whether ambiguity affects prices and volumes in a double auction market, and contrasts ambiguity aversion to competence effects. In order to test for the presence of (...)
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  23.  23
    Communicating Uncertainty to Policymakers: The Ineliminable Role of Values.Eric Winsberg - 2018 - In Elisabeth A. Lloyd & Eric Winsberg (eds.), Climate Modelling: Philosophical and Conceptual Issues. Springer Verlag. pp. 381-412.
    Climate science evaluates hypotheses about the climate using computer simulations and complex models. The models that drive these simulations, moreover, represent the efforts of many different agents, and they arise from a compounding set of methodological choices whose effects are epistemically inscrutable. These facts, I argue in this chapter, make it extremely difficult for climate scientists to estimate the degrees of uncertainty associated with these hypotheses that are free from the influences of past preferences—preferences both with regard to importance (...)
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  24.  24
    Uncertain preferences in rational decision.Moritz Schulz - 2020 - Inquiry: An Interdisciplinary Journal of Philosophy 63 (6):605-627.
    ABSTRACT Is uncertainty about preferences rationally possible? And if so, does it matter for rational decision? It is argued that uncertainty about preferences is possible and should play the same role in rational decision-making as uncertainty about worldly facts. The paper develops this hypothesis and defends it against various objections.
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  25.  9
    Uncertainty of Artificial Intelligence Assistant: The Effect of Assistant Type on Variety Seeking.Yu Zhang, Mengya Yang & Ziling Zhang - 2022 - Frontiers in Psychology 13.
    In service marketing, AI assistants and self-service technology have become popular. As a result, it is critical to enrich the understanding of whether consumers react differently in the artificial intelligence service context in comparison with the human service context. This study examines the effect of assistant type on consumers’ decision-making. Through three experiments, this research finds that variety seeking will be higher when consumers are making decision in AI service environment. Furthermore, we tested uncertainty as the underlying mechanism. Moreover, (...)
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  26.  7
    Uncertainty in Cognition and Social Practices.Irina A. Gerasimova - 2019 - Epistemology and Philosophy of Science 56 (4):8-20.
    The article discusses the theoretical status of the category of uncertainty. Instead of the classical definitions of uncertainty as an ontological or epistemological concept, a composite theoretical construct is proposed. In classical science, the objectivist representation of the subject of research was preferred. With the nonclassical type of rationality, there rises problem of including subjective elements in a theoretical description. Attention to subject-subject-object methodologies is increasing due to the complication of communicative interactions in science and society in the (...)
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  27. Climate Change, Uncertainty and Policy.Jeroen Hopster - forthcoming - Springer.
    While the foundations of climate science and ethics are well established, fine-grained climate predictions, as well as policy-decisions, are beset with uncertainties. This chapter maps climate uncertainties and classifies them as to their ground, extent and location. A typology of uncertainty is presented, centered along the axes of scientific and moral uncertainty. This typology is illustrated with paradigmatic examples of uncertainty in climate science, climate ethics and climate economics. Subsequently, the chapter discusses the IPCC’s preferred way of (...)
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  28.  5
    Corrigendum to “Qualitative decision theory with preference relations and comparative uncertainty: an axiomatic approach” [Artificial Intelligence 148 (1–2) (2003) 219–260]. [REVIEW]Didier Dubois, Hélène Fargier & Patrice Perny - 2007 - Artificial Intelligence 171 (5-6):361-362.
  29.  20
    Uncertainty, Bias, and Equipoise: A New Approach to the Ethics of Clinical Research.Michael Goldsby & William P. Kabasenche - 2014 - Theoretical and Applied Ethics 3 (1):35-59.
    The concept of equipoise is considered by many to be part of the ethical justification for using human subjects in clinical research. In general, equipoise indicates some uncertainty about the relative merits of the experimental intervention compared to existing treatments. Relieving this uncertainty gives scientific value to an experiment, thereby making the risks to human subjects in the trial acceptable, other considerations notwithstanding. But characterizing equipoise remains controversial since Freedman’s groundbreaking publication on the subject. We offer a new (...)
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  30. Known, Unknown, and Unknowable Uncertainties.Rakesh K. Sarin & Clare Chua Chow - 2002 - Theory and Decision 52 (2):127-138.
    In normative decision theory, the weight of an uncertain event in a decision is governed solely by the probability of the event. A large body of empirical research suggests that a single notion of probability does not accurately capture peoples' reactions to uncertainty. As early as the 1920s, Knight made the distinction between cases where probabilities are known and where probabilities are unknown. We distinguish another case –- the unknowable uncertainty –- where the missing information is unavailable to (...)
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  31. Additive representation of separable preferences over infinite products.Marcus Pivato - 2014 - Theory and Decision 77 (1):31-83.
    Let X\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal{X }$$\end{document} be a set of outcomes, and let I\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal{I }$$\end{document} be an infinite indexing set. This paper shows that any separable, permutation-invariant preference order \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$$$\end{document} on XI\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal{X }^\mathcal{I }$$\end{document} admits an additive representation. That is: there exists a linearly ordered abelian group (...)
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  32.  70
    Revealed Preference and Expected Utility.Stephen A. Clark - 2000 - Theory and Decision 49 (2):159-174.
    This essay gives necessary and sufficient conditions for recovering expected utility from choice behavior in several popular models of uncertainty. In particular, these techniques handle a finite state model; a model for which the choice space consists of probability densities and the expected utility representation requires bounded, measurable utility; and a model for which the choice space consists of Borel probability measures and the expected utility representation requires bounded, continuous utility. The key result is the identification of the continuity (...)
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  33.  15
    Signalling under Uncertainty: Interpretative Alignment without a Common Prior.Thomas Brochhagen - 2020 - British Journal for the Philosophy of Science 71 (2):471-496.
    Communication involves a great deal of uncertainty. Prima facie, it is therefore surprising that biological communication systems—from cellular to human—exhibit a high degree of ambiguity and often leave its resolution to contextual cues. This puzzle deepens once we consider that contextual information may diverge between individuals. In the following we lay out a model of ambiguous communication in iterated interactions between subjectively rational agents lacking a common contextual prior. We argue ambiguity’s justification to lie in endowing interlocutors with means (...)
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  34.  11
    Endogenous preference formation on macroeconomic issues: the role of individuality and social conformity.Guido Baldi - 2014 - Mind and Society 13 (1):49-58.
    Macroeconomic events often require individuals and policy-makers to make decisions that they are not accustomed to making. For example, a sovereign debt crisis makes it necessary to either default on government debt, increase taxes, cut public spending or to impose a mixture of these measures. I argue that decisions on such matters are not derived from deep preferences; they require reflections and judgement under uncertainty. Past experiences and the interaction with other individuals are likely to influence the salience of (...)
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  35.  31
    The Unbearable Uncertainty Paradox.Sabine Roeser - 2014 - Metaphilosophy 45 (4-5):640-653.
    People can be risk seeking and risk averse, but people can also be uncertainty averse: in other words, if risk is at least the possibility of an unwanted affect, then it is not only the unwanted effect that they want to avoid, it can also be the uncertainty inherent in the possibility that they wish to avoid. This uncertainty aversion can even lead to a state where someone prefers a certain outcome at all costs, even when it (...)
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  36.  39
    Attachment and time preference.James S. Chisholm - 1999 - Human Nature 10 (1):51-83.
    This paper investigates hypotheses drawn from two sources: (1) Belsky, Steinberg, and Draper’s (1991) attachment theory model of the development of reproductive strategies, and (2) recent life history models and comparative data suggesting that environmental risk and uncertainty may be potent determinants of the optimal tradeoff between current and future reproduction. A retrospective, self-report study of 136 American university women aged 19–25 showed that current recollections of early stress (environmental risk and uncertainty) were related to individual differences in (...)
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  37. Production under Uncertainty and Choice under Uncertainty in the Emergence of Generalized Expected Utility Theory.John Quiggin - 2001 - Theory and Decision 51 (2/4):125-144.
    This paper presents a personal view of the interaction between the analysis of choice under uncertainty and the analysis of production under uncertainty. Interest in the foundations of the theory of choice under uncertainty was stimulated by applications of expected utility theory such as the Sandmo model of production under uncertainty. This interest led to the development of generalized models including rank-dependent expected utility theory. In turn, the development of generalized expected utility models raised the question (...)
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  38.  34
    Signalling under Uncertainty: Interpretative Alignment without a Common Prior.Thomas Brochhagen - 2017 - British Journal for the Philosophy of Science:axx058.
    Communication involves a great deal of uncertainty. Prima facie, it is therefore surprising that biological communication systems—from cellular to human—exhibit a high degree of ambiguity and often leave its resolution to contextual cues. This puzzle deepens once we consider that contextual information may diverge between individuals. In the following we lay out a model of ambiguous communication in iterated interactions between subjectively rational agents lacking a common contextual prior. We argue ambiguity’s justification to lie in endowing interlocutors with means (...)
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  39.  20
    Impact of uncertainty and ambiguous outcome phrasing on moral decision-making.Yiyun Shou, Joel Olney, Micheal Smithson & Fei Song - 2020 - PLoS ONE 15 (5).
    The literature has shown that different types of moral dilemmas elicit discrepant decision patterns. The present research investigated the role of uncertainty in contributing to these decision patterns. Two studies were conducted to examine participants' choices in commonly used dilemmas. Study 1 showed that participants’ perceived outcome probabilities were significantly associated with their moral choices, and that these associations were independent from the dilemma type. Study 2 revealed that participants had significantly less preference for killing the individual when (...)
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  40.  70
    Indecisiveness aversion and preference for commitment.Eric Danan, Ani Guerdjikova & Alexander Zimper - 2012 - Theory and Decision 72 (1):1-13.
    We present an axiomatic model of preferences over menus that is motivated by three assumptions. First, the decision maker is uncertain ex ante (i.e., at the time of choosing a menu) about her ex post (i.e., at the time of choosing an option within her chosen menu) preferences over options, and she anticipates that this subjective uncertainty will not resolve before the ex post stage. Second, she is averse to ex post indecisiveness (i.e., to having to choose between options (...)
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  41.  3
    The Unbearable Uncertainty Paradox.Sabine Roeser - 2015 - In Duncan Pritchard & Lee John Whittington (eds.), The Philosophy of Luck. Hoboken, New Jersey: Wiley-Blackwell. pp. 191–203.
    People can be risk seeking and risk averse, but people can also be uncertainty averse: in other words, if risk is at least the possibility of an unwanted affect, then it is not only the unwanted effect that they want to avoid, it can also be the uncertainty inherent in the possibility that they wish to avoid. This uncertainty aversion can even lead to a state where someone prefers a certain outcome at all costs, even when it (...)
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  42.  75
    Harm and uncertainty in newborn intensive care.Kenneth Kipnis - 2007 - Theoretical Medicine and Bioethics 28 (5):393-412.
    There is a broadly held view that neonatologists are ethically obligated to act to override parental nontreatment decisions for imperiled premature newborns when there is a reasonable chance of a good outcome. It is argued here that three types of uncertainty undercut any such general obligation: (1) the vagueness of the boundary at which an infant’s deficits become so intolerable that death could be reasonably preferred; (2) the uncertainty about whether aggressive treatment will result in the survival of (...)
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  43.  35
    Strategic Voting Under Uncertainty About the Voting Method.Wesley H. Holliday & Eric Pacuit - 2019 - Electronic Proceedings in Theoretical Computer Science 297:252–272.
    Much of the theoretical work on strategic voting makes strong assumptions about what voters know about the voting situation. A strategizing voter is typically assumed to know how other voters will vote and to know the rules of the voting method. A growing body of literature explores strategic voting when there is uncertainty about how others will vote. In this paper, we study strategic voting when there is uncertainty about the voting method. We introduce three notions of manipulability (...)
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  44.  7
    Patient Preference Predictors and Paternalism in Military Medicine.Nathaniel Sharadin - 2021 - In Daniel Messelken & David Winkler (eds.), Health Care in Contexts of Risk, Uncertainty, and Hybridity. Springer. pp. 101-114.
    Patient preference predictors take us from known demographic descriptors to unknown facts about patients’ preferences over treatment options. However, the use of PPPs to make treatment decisions on behalf of incapacitated patients faces an apparent normative problem: their use in certain contexts appears to involve treating patients paternalistically. In this paper, I consider whether PPPs can find a home in the context of military medicine. On the assumptions that military organizations sometimes permissibly treat their members paternalistically, I identify the (...)
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  45.  8
    Known, Unknown, and Unknowable Uncertainties.Clare Chua Chow & Rakesh Sarin - 2002 - Theory and Decision 52 (2):127-138.
    In normative decision theory, the weight of an uncertain event in a decision is governed solely by the probability of the event. A large body of empirical research suggests that a single notion of probability does not accurately capture peoples' reactions to uncertainty. As early as the 1920s, Knight made the distinction between cases where probabilities are known and where probabilities are unknown. We distinguish another case –- the unknowable uncertainty –- where the missing information is unavailable to (...)
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  46. Stability of risk preferences and the reflection effect of prospect theory.Manel Baucells & Antonio Villasís - 2010 - Theory and Decision 68 (1-2):193-211.
    Are risk preferences stable over time? To address this question we elicit risk preferences from the same pool of subjects at two different moments in time. To interpret the results, we use a Fechner stochastic choice model in which the revealed preference of individuals is governed by some underlying preference, together with a random error. We take cumulative prospect theory as the underlying preference model (Kahneman and Tversky, Econometrica 47:263–292, 1979; Tversky and Kahneman, Journal of Risk and (...)
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  47. Suppositional Desires and Rational Choice Under Moral Uncertainty.Nicholas Makins - forthcoming - Ergo: An Open Access Journal of Philosophy.
    This paper presents a unifying diagnosis of a number of important problems facing existing models of rational choice under moral uncertainty and proposes a remedy. I argue that the problems of (i) severely limited scope, (ii) intertheoretic comparisons, and (iii) 'swamping’ all stem from the way in which values are assigned to options in decision rules such as Maximisation of Expected Choiceworthiness. By assigning values to options under a given moral theory by asking something like ‘how much do I (...)
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  48.  50
    Uncertainty Aversion Vs. Competence: An Experimental Market Study. [REVIEW]Carmela Di Mauro - 2007 - Theory and Decision 64 (2-3):301-331.
    Heath and Tversky (1991, Journal of Risk and Uncertainty 4:5–28) posed that reaction to ambiguity is driven by perceived competence. Competence effects may be inconsistent with ambiguity aversion if betting on own judgement is preferred to betting on a chance event, because judgemental probabilities are more ambiguous than chance events. This laboratory experiment analyses whether ambiguity affects prices and volumes in a double auction market, and contrasts ambiguity aversion to competence effects. In order to test for the presence of (...)
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  49.  16
    Opportunity and preference learning.Christian Schubert - 2015 - Economics and Philosophy 31 (2):275-295.
    :Robert Sugden has suggested a normative standard of freedom as ‘opportunity’ that is supposed to help realign normative economics – with its traditional rational choice orientation – with behavioural economics. While allowing preferences to be incoherent, he wants to maintain the anti-paternalist stance of orthodox welfare economics. His standard, though, presupposes that people respond to uncertainty about their own future preferences by dismissing any kind of self-constraint. We argue that the approach lacks psychological substance: Sugden's normative benchmark – the (...)
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  50.  31
    Preferences Representable by a Lower Expectation: Some Characterizations. [REVIEW]Andrea Capotorti, Giulianella Coletti & Barbara Vantaggi - 2008 - Theory and Decision 64 (2-3):119-146.
    We propose two different characterizations for preference relations representable by lower (upper) expectations with the aim of removing either fair price or completeness requirements. Moreover, we give an explicit characterization for comparative degrees of belief on a finite algebra of events representable by lower probabilities.
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