Results for 'Weighted utility'

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  1.  34
    Representing Utility Functions via Weighted Goals.Joel Uckelman, Yann Chevaleyre, Ulle Endriss & Jérôme Lang - 2009 - Mathematical Logic Quarterly 55 (4):341-361.
    We analyze the expressivity, succinctness, and complexity of a family of languages based on weighted propositional formulas for the representation of utility functions. The central idea underlying this form of preference modeling is to associate numerical weights with goals specified in terms of propositional formulas, and to compute the utility value of an alternative as the sum of the weights of the goals it satisfies. We define a large number of representation languages based on this idea, each (...)
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  2.  77
    Maxmin weighted expected utility: a simpler characterization.Joseph Y. Halpern & Samantha Leung - 2016 - Theory and Decision 80 (4):581-610.
    Chateauneuf and Faro axiomatize a weighted version of maxmin expected utility over acts with nonnegative utilities, where weights are represented by a confidence function. We argue that their representation is only one of many possible, and we axiomatize a more natural form of maxmin weighted expected utility. We also provide stronger uniqueness results.
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  3.  27
    Relative utility of food rewards as a function of cyclic deprivation or body weight loss in albino rats.K. Edward Renner, Richard W. Cravens & O. W. Wooley - 1971 - Journal of Experimental Psychology 90 (1):102.
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  4.  43
    Subjectively weighted linear utility.Gordon B. Hazen - 1987 - Theory and Decision 23 (3):261-282.
  5.  56
    Error Propagation in the Elicitation of Utility and Probability Weighting Functions.Pavlo Blavatskyy - 2006 - Theory and Decision 60 (2-3):315-334.
    Elicitation methods in decision-making under risk allow us to infer the utilities of outcomes as well as the probability weights from the observed preferences of an individual. An optimally efficient elicitation method is proposed, which takes the inevitable distortion of preferences by random errors into account and minimizes the effect of such errors on the inferred utility and probability weighting functions. Under mild assumptions, the optimally efficient method for eliciting utilities and probability weights is the following three-stage procedure. First, (...)
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  6.  98
    Independence Properties Vis-À-Vis Several Utility Representations.A. A. J. Marley & R. Duncan Luce - 2005 - Theory and Decision 58 (1):77-143.
    A detailed theoretical analysis is presented of what five utility representations – subjective expected utility (SEU), rank-dependent (cumulative or Choquet) utility (RDU), gains decomposition utility (GDU), rank weighted utility (RWU), and a configural-weight model (TAX) that we show to be equivalent to RWU – say about a series of independence properties, many of which were suggested by M. H. Birnbaum and his coauthors. The goal is to clarify what implications to draw about the descriptive (...)
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  7. Disagreement and Epistemic Utility-Based Compromise.Julia Staffel - 2015 - Journal of Philosophical Logic 44 (3):273-286.
    Epistemic utility theory seeks to establish epistemic norms by combining principles from decision theory and social choice theory with ways of determining the epistemic utility of agents’ attitudes. Recently, Moss, 1053–69, 2011) has applied this strategy to the problem of finding epistemic compromises between disagreeing agents. She shows that the norm “form compromises by maximizing average expected epistemic utility”, when applied to agents who share the same proper epistemic utility function, yields the result that agents must (...)
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  8.  14
    Compactly representing utility functions using weighted goals and the max aggregator.Joel Uckelman & Ulle Endriss - 2010 - Artificial Intelligence 174 (15):1222-1246.
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  9. Rank-Weighted Utilitarianism and the Veil of Ignorance.Jacob M. Nebel - 2020 - Ethics 131 (1):87-106.
    Lara Buchak argues for a version of rank-weighted utilitarianism that assigns greater weight to the interests of the worse off. She argues that our distributive principles should be derived from the preferences of rational individuals behind a veil of ignorance, who ought to be risk averse. I argue that Buchak’s appeal to the veil of ignorance leads to a particular way of extending rank-weighted utilitarianism to the evaluation of uncertain prospects. This method recommends choices that violate the unanimous (...)
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  10. Weight for Stephen Finlay.Daan Evers - 2013 - Philosophical Studies 163 (3):737-749.
    According to Stephen Finlay, ‘A ought to X’ means that X-ing is more conducive to contextually salient ends than relevant alternatives. This in turn is analysed in terms of probability. I show why this theory of ‘ought’ is hard to square with a theory of a reason’s weight which could explain why ‘A ought to X’ logically entails that the balance of reasons favours that A X-es. I develop two theories of weight to illustrate my point. I first look at (...)
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  11.  16
    Weighted Modal Logic in Epistemic and Deontic Contexts.Huimin Dong, Xu Li & Yì N. Wáng - 2021 - In Sujata Ghosh & Thomas Icard (eds.), Logic, Rationality, and Interaction: 8th International Workshop, Lori 2021, Xi’an, China, October 16–18, 2021, Proceedings. Springer Verlag. pp. 73-87.
    We introduce a type of weighted modal logic with explicit weights both in the language and in the models. The framework has its applications in epistemic logic for reasoning about agents’ knowledge based on their capability, and in deontic logic for agents’ choices based on their deontic capability or utilities. We make use of weighted Kripke models with the weights understood epistemically as a similarity measure between states and deontically as a measure of expected utilities. We present sound (...)
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  12. Utility of Gambling when Events are Valued: an Application of Inset Entropy. [REVIEW]C. T. Ng, R. Duncan Luce & A. A. J. Marley - 2009 - Theory and Decision 67 (1):23-63.
    The present theory leads to a set of subjective weights such that the utility of an uncertain alternative (gamble) is partitioned into three terms involving those weights—a conventional subjectively weighted utility function over pure consequences, a subjectively weighted value function over events, and a subjectively weighted function of the subjective weights. Under several assumptions, this becomes one of several standard utility representations, plus a weighted value function over events, plus an entropy term of (...)
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  13.  86
    Interpersonal comparisons of utility for 2 of 3 types of people.R. Duncan Luce - 2010 - Theory and Decision 68 (1-2):5-24.
    This article argues that there is a natural solution to carry out interpersonal comparisons of utility when the theory of gambles is supplemented with a group operation of joint receipts. If so, three types of people can exist, and the two types having multiplicative representations of joint receipt have, in contrast to most utility theories, absolute scales of utility. This makes possible, at least in principle, meaningful interpersonal comparisons of utility with desirable properties, thus resolving a (...)
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  14. Risk, rationality and expected utility theory.Richard Pettigrew - 2015 - Canadian Journal of Philosophy 45 (5-6):798-826.
    There are decision problems where the preferences that seem rational to many people cannot be accommodated within orthodox decision theory in the natural way. In response, a number of alternatives to the orthodoxy have been proposed. In this paper, I offer an argument against those alternatives and in favour of the orthodoxy. I focus on preferences that seem to encode sensitivity to risk. And I focus on the alternative to the orthodoxy proposed by Lara Buchak’s risk-weighted expected utility (...)
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  15.  76
    Subjective Probability Weighting and the Discovered Preference Hypothesis.Gijs van de Kuilen - 2009 - Theory and Decision 67 (1):1-22.
    Numerous studies have convincingly shown that prospect theory can better describe risky choice behavior than the classical expected utility model because it makes the plausible assumption that risk aversion is driven not only by the degree of sensitivity toward outcomes, but also by the degree of sensitivity toward probabilities. This article presents the results of an experiment aimed at testing whether agents become more sensitive toward probabilities over time when they repeatedly face similar decisions, receive feedback on the consequences (...)
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  16. Rational risk‐aversion: Good things come to those who weight.Christopher Bottomley & Timothy Luke Williamson - 2023 - Philosophy and Phenomenological Research 108 (3):697-725.
    No existing normative decision theory adequately handles risk. Expected Utility Theory is overly restrictive in prohibiting a range of reasonable preferences. And theories designed to accommodate such preferences (for example, Buchak's (2013) Risk‐Weighted Expected Utility Theory) violate the Betweenness axiom, which requires that you are indifferent to randomizing over two options between which you are already indifferent. Betweenness has been overlooked by philosophers, and we argue that it is a compelling normative constraint. Furthermore, neither Expected nor Risk‐ (...) Expected Utility Theory allow for stakes‐sensitive risk‐attitudes—they require that risk matters in the same way whether you are gambling for loose change or millions of dollars. We provide a novel normative interpretation of Weighted‐Linear Utility Theory that solves all of these problems. (shrink)
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  17. A pragmatic argument against equal weighting.Ittay Nissan-Rozen & Levi Spectre - 2019 - Synthese 196 (10):4211-4227.
    We present a minimal pragmatic restriction on the interpretation of the weights in the “Equal Weight View” regarding peer disagreement and show that the view cannot respect it. Based on this result we argue against the view. The restriction is the following one: if an agent, $$\hbox {i}$$ i, assigns an equal or higher weight to another agent, $$\hbox {j}$$ j,, he must be willing—in exchange for a positive and certain payment—to accept an offer to let a completely rational and (...)
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  18.  40
    A Constrained-Utility Alternative to Animal Rights.Joshua Frank - 2002 - Environmental Values 11 (1):49-62.
    Numerous approaches have been taken in an effort to find a non-anthropocentric ethic that will lead to greater consideration of animals. Most of the recent approaches in this area have been rights-based. It is argued here that a rights-based approach alone fails both theoretically and in practical applications. It is shown that in theory these approaches can lead to unsound conclusions and cannot handle uncertainty. In addition, in practice the rules of the rights-based approaches will often be violated. A (...) approach with unequal weighting for different species subject to certain rights or obligations is proposed as an alternative. This approach is intended to be operational rather than purely theoretical and therefore would be based on a negotiated consensus rather than a priori theory. (shrink)
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  19.  3
    Expected utility, independence, and continuity.Kemal Ozbek - forthcoming - Theory and Decision:1-22.
    In this paper, we provide two novel expected utility theorems by suitably adjusting the independence and continuity axioms. Our first theorem characterizes expected utility preferences using weak versions of the independence axiom (with varying mixture weights) and a new weak continuity axiom. Our second theorem characterizes these preferences using weaker versions of the independence axiom (with mixture weights fixed at 1/2) and a strong topological continuity axiom. We provide useful examples to illustrate the tightness of these characterizations.
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  20.  8
    PUC: parallel mining of high-utility itemsets with load balancing on spark.Geetha Maiya, Harish Sheeranalli Venkatarama & Anup Bhat Brahmavar - 2022 - Journal of Intelligent Systems 31 (1):568-588.
    Distributed programming paradigms such as MapReduce and Spark have alleviated sequential bottleneck while mining of massive transaction databases. Of significant importance is mining High Utility Itemset that incorporates the revenue of the items purchased in a transaction. Although a few algorithms to mine HUIs in the distributed environment exist, workload skew and data transfer overhead due to shuffling operations remain major issues. In the current study, Parallel Utility Computation algorithm has been proposed with novel grouping and load balancing (...)
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  21. CYP2D6 Genetic Variation and Antipsychotic-Induced Weight Gain: A Systematic Review and Meta-Analysis.Yanisa Wannasuphoprasit, Stig Ejdrup Andersen, Maria J. Arranz, Rosa Catalan, Gesche Jurgens, Sanne Maartje Kloosterboer, Henrik Berg Rasmussen, Anjali Bhat, Haritz Irizar, Dora Koller, Renato Polimanti, Baihan Wang, Eirini Zartaloudi, Isabelle Austin-Zimmerman & Elvira Bramon - 2022 - Frontiers in Psychology 12.
    BackgroundAntipsychotic-induced weight gain is a contributing factor in the reduced life expectancy reported amongst people with psychotic disorders. CYP2D6 is a liver enzyme involved in the metabolism of many commonly used antipsychotic medications. We investigated if CYP2D6 genetic variation influenced weight or BMI among people taking antipsychotic treatment.MethodsWe conducted a systematic review and a random effects meta-analysis of publications in Pubmed, Embase, PsychInfo, and CENTRAAL that had BMI and/or weight measurements of patients on long-term antipsychotics by their CYP2D6-defined metabolic groups.ResultsTwelve (...)
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  22.  10
    Your patient is a person: A narrative medical approach to weight discrimination in medicine.Anna E. Ulrey - forthcoming - Clinical Ethics.
    Several studies have established the prevalence of discrimination upon the basis of weight in healthcare; however, these studies lack the element of human experience that makes addressing the issue vital to both individual and public health. Narrative medicine is an interdisciplinary field that utilizes powerful narrative skills and creativity to address the needs of those who seek and deliver healthcare, promoting healing, and self-reflection for both patients and physicians. This paper seeks to re-evaluate key studies regarding the issue of weight (...)
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  23.  31
    Characterizations of weighted and equal division values.Sylvain Béal, André Casajus, Frank Huettner, Eric Rémila & Philippe Solal - 2016 - Theory and Decision 80 (4):649-667.
    New and recent axioms for cooperative games with transferable utilities are introduced. The non-negative player axiom requires to assign a non-negative payoff to a player that belongs to coalitions with non-negative worth only. The axiom of addition invariance on bi-partitions requires that the payoff vector recommended by a value should not be affected by an identical change in worth of both a coalition and the complementary coalition. The nullified solidarity axiom requires that if a player who becomes null weakly loses (...)
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  24. Multi-Dimensional Utility and the Index Number Problem: Jeremy Bentham, J. S. Mill, and Qualitative Hedonism: Tom Warke.Tom Warke - 2000 - Utilitas 12 (2):176-203.
    This article develops an unconventional perspective on the utilitarianism of Bentham and Mill in at least four areas. First, it is shown that both authors conceived of utility as irreducibly multi-dimensional, and that Bentham in particular was very much aware of the ambiguity that multi-dimensionality imposes upon optimal choice under the greatest happiness principle. Secondly, I argue that any attribution of intrinsic worth to any form of human behaviour violates the first principles of Bentham's and Mill's utilitarianism, and that (...)
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  25.  10
    Subjective Probability Weighting and the Discovered Preference Hypothesis.Gijs Kuilen - 2009 - Theory and Decision 67 (1):1-22.
    Numerous studies have convincingly shown that prospect theory can better describe risky choice behavior than the classical expected utility model because it makes the plausible assumption that risk aversion is driven not only by the degree of sensitivity toward outcomes, but also by the degree of sensitivity toward probabilities. This article presents the results of an experiment aimed at testing whether agents become more sensitive toward probabilities over time when they repeatedly face similar decisions, receive feedback on the consequences (...)
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  26.  61
    Emotional balance and probability weighting.Narat Charupat, Richard Deaves, Travis Derouin, Marcelo Klotzle & Peter Miu - 2013 - Theory and Decision 75 (1):17-41.
    We find suggestive evidence that emotional balance has an impact on probability weighting incremental to demographic controls. Specifically, low negative affectivity (implying high emotional balance) tends to be a characteristic of those whose probability weighting functions exhibit lower curvature and more neutral elevation. In other words, emotional balance seems to push people in the direction of normative expected utility theory.
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  27. Why high-risk, non-expected-utility-maximising gambles can be rational and beneficial: the case of HIV cure studies.Lara Buchak - 2016 - Journal of Medical Ethics (2):1-6.
    Some early phase clinical studies of candidate HIV cure and remission interventions appear to have adverse medical risk–benefit ratios for participants. Why, then, do people participate? And is it ethically permissible to allow them to participate? Recent work in decision theory sheds light on both of these questions, by casting doubt on the idea that rational individuals prefer choices that maximise expected utility, and therefore by casting doubt on the idea that researchers have an ethical obligation not to enrol (...)
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  28.  16
    On the Utility of Research into Geoengineering Technologies for Risk-avoidant Agents.Milana Kostic - forthcoming - Philosophy of Science:1-16.
    In a recent paper Winsberg (2021) argued in favor of research into geoengineering by relying on Good’s theorem, which states that conducting research maximizes one’s expected utility. However, this result sometimes fails for risk-avoidant agents (Buchak 2010). Since risk avoidance captures some of the ’precautionary’ intuitions that critics of geoengineering share, it is important to see if geoengineering research would maximize one’s utility if risk avoidance is taken into account. I show that under some conditions conducting geoengineering research (...)
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  29. The Multiplication of Utility: N. M. L. Nathan.N. M. L. Nathan - 1994 - Utilitas 6 (2):217-218.
    Some people have supposed that utility is good in itself, non-in-strumentally good, as distinct from good because conducive to other good things. And in modern versions of this view, utility often means want-satisfaction, as distinct from pleasure or happiness. For your want that p to be satisfied, is it necessary that you know or believe that p, or sufficient merely that p is true? However that question is answered, there are problems with the view that want-satisfaction is a (...)
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  30.  18
    Procedural and optimization implementation of the weighted ENSC value.Dongshuang Hou, Aymeric Lardon, Panfei Sun & Hao Sun - 2019 - Theory and Decision 87 (2):171-182.
    The main purpose of this article is to introduce the weighted ENSC value for cooperative transferable utility games which takes into account players’ selfishness about the payoff allocations. Similar to Shapley’s idea of a one-by-one formation of the grand coalition [Shapley ], we first provide a procedural implementation of the weighted ENSC value depending on players’ selfishness as well as their marginal contributions to the grand coalition. Second, in the spirit of the nucleolus [Schmeidler ], we prove (...)
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  31.  61
    Market failure in light of non-expected utility.Eyal Baharad & Doron Kliger - 2013 - Theory and Decision 75 (4):599-619.
    This paper merges the non-expected utility approach (Tversky and Kahneman, J Risk Uncertain 5:297–323, 1992 and Quiggin, J Econ Behav Organ 3:323–343, 1982) into Akerlof’s (Quart J Econ 84:488–500, 1970) model of Market for Lemons. We derive the results for different probability weighting functions and analyze the phenomenon of market failure in light of non-expected utility maximization. Our main finding suggests that when the proportion of traded lemons is high (low), the problem of market failure is mitigated (enhanced). (...)
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  32.  48
    Expectations, Disappointment, and Rank-Dependent Probability Weighting.Philippe Delquié & Alessandra Cillo - 2006 - Theory and Decision 60 (2-3):193-206.
    We develop a model of Disappointment in which disappointment and elation arise from comparing the outcome received, not with an expected value as in previous models, but rather with the other individual outcomes of the lottery. This approach may better reflect the way individuals are liable to experience disappointment. The model obtained accounts for classic behavioral deviations from the normative theory, offers a richer structure than previous disappointment models, and leads to a Rank-Dependent Utility formulation in a transparent way. (...)
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  33.  8
    The Economics of Resource Allocation in Health Care: Cost-Utility, Social Value, and Fairness.Andrea Klonschinski - 2016 - Routledge.
    The question of how to allocate scarce medical resources has become an important public policy issue in recent decades. Cost-Utility Analysis is the most commonly used method for determining the allocation of these resources, but this book counters the argument that overcoming its inherent imbalances is simply a question of implementing methodological changes. The Economics of Resource-Allocation in Healthcare represents the first comprehensive analysis of equity weighting in health care resource allocation that offers a fundamental critique of its basic (...)
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  34.  19
    Consistency of determined risk attitudes and probability weightings across different elicitation methods.Golo-Friedrich Bauermeister, Daniel Hermann & Oliver Musshoff - 2018 - Theory and Decision 84 (4):627-644.
    In comparing different risk elicitation methods under the assumptions of expected utility theory, previous studies have found significant differences in the elicited risk attitudes. This paper extends this line of research to consider cumulative prospect theory by comparing risk attitudes and probability weightings determined using two elicitation methods: the method by Tanaka et al. :557–571, 2010; TCN method) and the method by Wakker and Deneffe :1131–1150, 1996; WD method). We demonstrate that the two methods reveal significantly different mean values (...)
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  35.  34
    A Communitarian Utility Function and its Social and Economic Implications: Basant K. Kapur.Basant K. Kapur - 1999 - Economics and Philosophy 15 (1):43-62.
    The term ‘communitarianism’ is often identified with ‘altruism’: an individual is taken to be communitarian-minded if he or she is concerned with the well-being of others, and not only with his or her own well-being. While communitarianism may embrace altruism, it is most appositely viewed as having a broader connotation. Consider, for example, the puzzle of voting behaviour, discussed by Amitai Etzioni and many others ). Casting one's vote entails a cost, albeit usually a small one: however, if there are (...)
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  36. On the Application of Multiattribute Utility Theory to Models of Choice.Jeffrey Helzner - 2009 - Theory and Decision 66 (4):301-315.
    Ellsberg (The Quarterly Journal of Economics 75, 643–669 (1961); Risk, Ambiguity and Decision, Garland Publishing (2001)) argued that uncertainty is not reducible to risk. At the center of Ellsberg’s argument lies a thought experiment that has come to be known as the three-color example. It has been observed that a significant number of sophisticated decision makers violate the requirements of subjective expected utility theory when they are confronted with Ellsberg’s three-color example. More generally, such decision makers are in conflict (...)
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  37.  14
    Violations of coalescing in parametric utility measurement.Andreas Glöckner, Baiba Renerte & Ulrich Schmidt - 2020 - Theory and Decision 89 (4):471-501.
    The majority consensus in the empirical literature is that probability weighting functions are typically inverse-S shaped, that is, people tend to overweight small and underweight large probabilities. A separate stream of literature has reported event-splitting effects and shown that they can explain violations of expected utility. This leads to the questions whether the observed shape of weighting functions is a mere consequence of the coalesced presentation and, more generally, whether preference elicitation should rely on presenting lotteries in a canonical (...)
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  38. Normative Decision Theory.Edward Elliott - 2019 - Analysis 79 (4):755-772.
    A review of some major topics of debate in normative decision theory from circa 2007 to 2019. Topics discussed include the ongoing debate between causal and evidential decision theory, decision instability, risk-weighted expected utility theory, decision-making with incomplete preferences, and decision-making with imprecise credences.
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  39. Risk aversion and the long run.Johanna Thoma - 2019 - 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 (...)
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  40. Revisiting Risk and Rationality: a reply to Pettigrew and Briggs.Lara Buchak - 2015 - Canadian Journal of Philosophy 45 (5):841-862.
    I have claimed that risk-weighted expected utility maximizers are rational, and that their preferences cannot be captured by expected utility theory. Richard Pettigrew and Rachael Briggs have recently challenged these claims. Both authors argue that only EU-maximizers are rational. In addition, Pettigrew argues that the preferences of REU-maximizers can indeed be captured by EU theory, and Briggs argues that REU-maximizers lose a valuable tool for simplifying their decision problems. I hold that their arguments do not succeed and (...)
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  41.  8
    A new test of convexity–concavity of discount function.Pavlo R. Blavatskyy & Hela Maafi - 2020 - Theory and Decision 89 (2):121-136.
    Discounted utility theory and its generalizations use discount functions for weighting utilities of outcomes received in different time periods. We propose a new simple test of convexity–concavity of discount function. This test can be used with any utility function and any preferences over risky lotteries. The data from a controlled laboratory experiment show that about one third of experimental subjects reveal a concave discount function and another one third of subjects reveal a convex discount function.
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  42. Risk-taking and tie-breaking.Ryan Doody - 2023 - Philosophical Studies 180 (7):2079-2104.
    When you are indifferent between two options, it’s rationally permissible to take either. One way to decide between two such options is to flip a fair coin, taking one option if it lands heads and the other if it lands tails. Is it rationally permissible to employ such a tie-breaking procedure? Intuitively, yes. However, if you are genuinely risk-averse—in particular, if you adhere to risk-weighted expected utility theory (Buchak in Risk and rationality, Oxford University Press, 2013) and have (...)
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  43.  94
    A parametric analysis of prospect theory’s functionals for the general population.Adam S. Booij, Bernard M. S. van Praag & Gijs van de Kuilen - 2010 - Theory and Decision 68 (1-2):115-148.
    This article presents the results of an experiment that completely measures the utility function and probability weighting function for different positive and negative monetary outcomes, using a representative sample of N = 1,935 from the general public. The results confirm earlier findings in the lab, suggesting that utility is less pronounced than what is found in classical measurements where expected utility is assumed. Utility for losses is found to be convex, consistent with diminishing sensitivity, and the (...)
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  44.  37
    Contractiarianism and Bargaining Theory.Paul Weirich - 1991 - Journal of Philosophical Research 16:369-385.
    Classical bargaining theory attempts to solve a bargaining problem using only the information about the problem contained in the representation of its possible outcomes in utility space. However, this information usually underdetermines the solution. I use additional information about interpersonal comparisons of utility and bargaining power. The solution is then the outcome that maximizes the sum of power-weighted utilities. I use these results to advance a contractarian argument for a utilitarian form of social cooperation. As the original (...)
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  45.  8
    Contractiarianism and Bargaining Theory.Paul Weirich - 1991 - Journal of Philosophical Research 16:369-385.
    Classical bargaining theory attempts to solve a bargaining problem using only the information about the problem contained in the representation of its possible outcomes in utility space. However, this information usually underdetermines the solution. I use additional information about interpersonal comparisons of utility and bargaining power. The solution is then the outcome that maximizes the sum of power-weighted utilities. I use these results to advance a contractarian argument for a utilitarian form of social cooperation. As the original (...)
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  46. Measuring Belief and Risk Attitude.Sven Neth - 2019 - Electronic Proceedings in Theoretical Computer Science 297:354–364.
    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 (...)
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  47.  18
    When irrelevant alternatives do matter. The effect of focusing on loan decisions.Barna Bakó, Gábor Neszveda & Linda Dezső - 2018 - Theory and Decision 84 (1):123-141.
    In this paper, we investigate some implications of recent results about salience on loan decisions. Using the framework of focus-weighted utility we show that consumers might take out loans even when that yield them negative utility due to the focusing bias. We suggest, however, that this can be counterbalanced and consumers might be more prudent in their decisions and less likely to take out such loans when the usual fixed-installments plan is coupled with an equivalent decreasing-installments option. (...)
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  48. Risk and Tradeoffs.Lara Buchak - 2014 - Erkenntnis 79 (S6):1091-1117.
    The orthodox theory of instrumental rationality, expected utility (EU) theory, severely restricts the way in which risk-considerations can figure into a rational individual's preferences. It is argued here that this is because EU theory neglects an important component of instrumental rationality. This paper presents a more general theory of decision-making, risk-weighted expected utility (REU) theory, of which expected utility maximization is a special case. According to REU theory, the weight that each outcome gets in decision-making is (...)
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  49. Veritism, Epistemic Risk, and the Swamping Problem.Richard Pettigrew - 2019 - Australasian Journal of Philosophy 97 (4):761-774.
    Veritism says that the fundamental source of epistemic value for a doxastic state is the extent to which it represents the world correctly: that is, its fundamental epistemic value is deter...
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  50.  47
    On probabilities and loss aversion.Horst Zank - 2010 - Theory and Decision 68 (3):243-261.
    This paper reviews the most common approaches that have been adopted to analyze and describe loss aversion under prospect theory. Subsequently, it is argued that loss aversion is a property of observable choice behavior and two new definitions of loss averse behavior are advocated. Under prospect theory, the new properties hold if the commonly used utility based measures of loss aversion are corrected by a probability based measure of loss aversion and their product exceeds 1. It is shown that (...)
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