Results for 'Concave utility function'

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  1. A note on concave utility functions.Martin M. Monti, Simon Grant & Daniel N. Osherson - 2005 - Mind and Society 4 (1):85-96.
    The classical theory of preference among monetary bets represents people as expected utility maximizers with concave utility functions. Critics of this account often rely on assumptions about preferences over wide ranges of total wealth. We derive a prediction of the theory that bears on bets at any fixed level of wealth, and test the prediction behaviorally. Our results are discrepant with the classical account. Competing theories are also examined in light of our data.
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  2.  7
    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 (...)
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  3.  97
    Pareto utility.Masako Ikefuji, Roger J. A. Laeven, Jan R. Magnus & Chris Muris - 2013 - Theory and Decision 75 (1):43-57.
    In searching for an appropriate utility function in the expected utility framework, we formulate four properties that we want the utility function to satisfy. We conduct a search for such a function, and we identify Pareto utility as a function satisfying all four desired properties. Pareto utility is a flexible yet simple and parsimonious two-parameter family. It exhibits decreasing absolute risk aversion and increasing but bounded relative risk aversion. It is applicable (...)
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  4. Risk aversion in expected intertemporal discounted utilities bandit problems.Jean-Philippe Chancelier, Michel De Lara & André de Palma - 2009 - Theory and Decision 67 (4):433-440.
    We consider a situation where an individual is facing an uncertain situation, but may costly alter his knowledge of the uncertainties. We study in this context how risk aversion may modify the individual search behavior. We consider a one-armed bandit problem (where one arm is safe and the other is risky) and study how the agent risk aversion can change the sequence of arms selected. The main result is that when the utility function is more concave, the (...)
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  5.  8
    Risk aversion in expected intertemporal discounted utilities bandit problems.Jean-Philippe Chancelier, Michel Lara & André Palma - 2009 - Theory and Decision 67 (4):433-440.
    We consider a situation where an individual is facing an uncertain situation, but may costly alter his knowledge of the uncertainties. We study in this context how risk aversion may modify the individual search behavior. We consider a one-armed bandit problem (where one arm is safe and the other is risky) and study how the agent risk aversion can change the sequence of arms selected. The main result is that when the utility function is more concave, the (...)
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  6. On Risk and Rationality.Brad Armendt - 2014 - Erkenntnis 79 (S6):1-9.
    It is widely held that the influence of risk on rational decisions is not entirely explained by the shape of an agent’s utility curve. Buchak (Erkenntnis, 2013, Risk and rationality, Oxford University Press, Oxford, in press) presents an axiomatic decision theory, risk-weighted expected utility theory (REU), in which decision weights are the agent’s subjective probabilities modified by his risk-function r. REU is briefly described, and the global applicability of r is discussed. Rabin’s (Econometrica 68:1281–1292, 2000) calibration theorem (...)
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  7.  23
    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 characterized (...)
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  8. Continuous Utility Functions Through Scales.J. C. R. Alcantud, G. Bosi, M. J. Campión, J. C. Candeal, E. Induráin & C. Rodríguez-Palmero - 2007 - Theory and Decision 64 (4):479-494.
    We present here a direct elementary construction of continuous utility functions on perfectly separable totally preordered sets that does not make use of the well-known Debreu’s open gap lemma. This new construction leans on the concept of a separating countable decreasing scale. Starting from a perfectly separable totally ordered structure, we give an explicit construction of a separating countable decreasing scale, from which we show how to get a continuous utility map.
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  9.  38
    On utility functions.Georges Bernard - 1974 - Theory and Decision 5 (2):205-242.
  10.  57
    Reasonable utility functions and playing the cooperative way.Gerald F. Gaus - 2008 - Critical Review of International Social and Political Philosophy 11 (2):215-234.
    In this essay I dispute the widely held view that utility theory and decision theory are formalizations of instrumental rationality. I show that the decision theoretic framework has no deep problems accommodating the ?reasonable? qua a preference to engage in fair cooperation as such. All evaluative criteria relevant to choice can be built into a von Neumann?Morgenstern utility function. I focus on the claim that, while rational choice?driven agents are caught in the Pareto?inferior outcome, reasonable agents could (...)
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  11.  46
    Local utility functions.Peter Bardsley - 1993 - Theory and Decision 34 (2):109-118.
  12.  69
    The evolution of utility functions and psychological altruism.Christine Clavien & Michel Chapuisat - 2016 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 56:24-31.
    Numerous studies show that humans tend to be more cooperative than expected given the assumption that they are rational maximizers of personal gain. As a result, theoreticians have proposed elaborated formal representations of human decision-making, in which utility functions including “altruistic” or “moral” preferences replace the purely self-oriented "Homo economicus" function. Here we review mathematical approaches that provide insights into the mathematical stability of alternative ways of representing human decision-making in social contexts. Candidate utility functions may be (...)
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  13. Decision by sampling.Nick Chater & Gordon D. A. Brown - unknown
    We present a theory of decision by sampling (DbS) in which, in contrast with traditional models, there are no underlying psychoeconomic scales. Instead, we assume that an attribute’s subjective value is constructed from a series of binary, ordinal comparisons to a sample of attribute values drawn from memory and is its rank within the sample. We assume that the sample reflects both the immediate distribution of attribute values from the current decision’s context and also the background, real-world distribution of attribute (...)
     
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  14.  45
    On utility functions. The present state.Georges Bernard - 1984 - Theory and Decision 17 (1):97-100.
  15. Facts, norms and expected utility functions.Sophie Jallais, Pierre-Charles Pradier & David Teira - 2008 - History of the Human Sciences 21 (2):45-62.
    In this article we explore an argumentative pattern that provides a normative justification for expected utility functions grounded on empirical evidence, showing how it worked in three different episodes of their development. The argument claims that we should prudentially maximize our expected utility since this is the criterion effectively applied by those who are considered wisest in making risky choices (be it gamblers or businessmen). Yet, to justify the adoption of this rule, it should be proven that this (...)
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  16.  32
    An AGI Modifying Its Utility Function in Violation of the Strong Orthogonality Thesis.James D. Miller, Roman Yampolskiy & Olle Häggström - 2020 - Philosophies 5 (4):40.
    An artificial general intelligence (AGI) might have an instrumental drive to modify its utility function to improve its ability to cooperate, bargain, promise, threaten, and resist and engage in blackmail. Such an AGI would necessarily have a utility function that was at least partially observable and that was influenced by how other agents chose to interact with it. This instrumental drive would conflict with the strong orthogonality thesis since the modifications would be influenced by the AGI’s (...)
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  17.  49
    Beyond Stakeholder Utility Function: Stakeholder Capability in the Value Creation Process.Elisabet Garriga - 2014 - Journal of Business Ethics 120 (4):489-507.
    In spite of the thousands of articles on stakeholder theory, research on value creation has had a shorter history and narrower breadth. Only a few studies have researched value creation from stakeholder perspective looking at how stakeholders appropiate value or the processes or activities by which stakeholders create value. Consequently to date, certain questions still remain unanswered regarding how a firm should treat stakeholders in order to create value. Several questions arise specifically from the stakeholder's side: What does "value" mean (...)
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  18.  50
    Parametric multi-attribute utility functions for optimal profit under risk constraints.Babacar Seck, Laetitia Andrieu & Michel De Lara - 2012 - Theory and Decision 72 (2):257-271.
    We provide an economic interpretation of the practice consisting in incorporating risk measures as constraints in an expected prospect maximization problem. For what we call the infimum of expectations class of risk measures, we show that if the decision maker (DM) maximizes the expectation of a random prospect under constraint that the risk measure is bounded above, he then behaves as a “generalized expected utility maximizer” in the following sense. The DM exhibits ambiguity with respect to a family of (...)
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  19.  55
    Invariant multiattribute utility functions.Ali E. Abbas - 2010 - Theory and Decision 68 (1-2):69-99.
    We present a method to characterize the preferences of a decision maker in decisions with multiple attributes. The approach modifies the outcomes of a multivariate lottery with a multivariate transformation and observes the change in the decision maker’s certain equivalent. If the certain equivalent follows this multivariate transformation, we refer to this situation as multiattribute transformation invariance, and we derive the functional form of the utility function. We then show that any additive or multiplicative utility function (...)
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  20.  66
    Linear Aggregation of SSB Utility Functionals.Arja H. Turunen-Red & John A. Weymark - 1999 - Theory and Decision 46 (3):281-294.
    A necessary and sufficient condition for linear aggregation of SSB utility functionals is presented. Harsanyi's social aggregation theorem for von Neumann–Morgenstern utility functions is shown to be a corollary to this result. Two generalizations of Fishburn and Gehrlein's conditional linear aggregation theorem for SSB utility functionals are also established.
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  21.  70
    The s-shaped utility function.R. Dacey - 2003 - Synthese 135 (2):243 - 272.
    The results generated by experimentalists in psychology and economics haveled to numerous advances in the study of human decision making under risk.Camerer (1995) and Rabin (1998) provide excellent reviews of the relevantliterature. These results clearly display the gap between normative theoriesof ideal behavior and descriptive theories of observed behavior. The mostprominent result is loss aversion – the observation that a loss is given greatervalue than a gain of an equal size – and the resulting S-shaped utility function.Rabin puts (...)
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  22.  15
    Bliss points and utility functions.William Timberlake - 1981 - Behavioral and Brain Sciences 4 (3):404-405.
  23.  49
    Utility optimization when the utility function is virtually unknown.Enrique Ballestero & Carlos Romero - 1994 - Theory and Decision 37 (2):233-243.
  24.  10
    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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  25. 14 God's Utility Function.Richard Dawkins - 1999 - In Eleonore Stump & Michael J. Murray (eds.), Philosophy of Religion: The Big Questions. Blackwell. pp. 6--109.
  26.  37
    What if utility functions do not exist?Fred S. Roberts - 1972 - Theory and Decision 3 (2):126-139.
  27.  4
    Adaptation of utility functions to reward distribution in rhesus monkeys.Philipe M. Bujold, Simone Ferrari-Toniolo & Wolfram Schultz - 2021 - Cognition 214 (C):104764.
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  28.  43
    On the Conditional Value-at-Risk probability-dependent utility function.Alexandre Street - 2010 - Theory and Decision 68 (1-2):49-68.
    The Expected Shortfall or Conditional Value-at-Risk (CVaR) has been playing the role of main risk measure in the recent years and paving the way for an enormous number of applications in risk management due to its very intuitive form and important coherence properties. This work aims to explore this measure as a probability-dependent utility functional, introducing an alternative view point for its Choquet Expected Utility representation. Within this point of view, its main preference properties will be characterized and (...)
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  29.  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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  30.  83
    The Domain and Interpretation of Utility Functions: An Exploration.Marc le Menestrel & Luk van Wassenhove - 2001 - Theory and Decision 51 (2/4):329-349.
    This paper proposes an exploration of the methodology of utility functions that distinguishes interpretation from representation. While representation univocally assigns numbers to the entities of the domain of utility functions, interpretation relates these entities with empirically observable objects of choice. This allows us to make explicit the standard interpretation of utility functions which assumes that two objects have the same utility if and only if the individual is indifferent among them. We explore the underlying assumptions of (...)
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  31.  7
    On the existence of altruistic value and utility functions.Jay Simon - 2016 - Theory and Decision 81 (3):371-391.
    Altruism is a popular economic explanation for a wide range of pro-social decisions and actions. It has been applied frequently in several different streams of literature, and is a descriptively compelling model of behavior. This paper provides a theoretical framework for the existence of ordinal and cardinal altruistic value functions, as well as altruistic utility functions, based on an altruistic preference relation. Representation theorems are developed to specify relatively weak conditions under which altruistic value and utility functions can (...)
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  32.  52
    The price of risk with incomplete knowledge on the utility function.Francisco J. Vázquez & Richard Watt - 2002 - Theory and Decision 53 (3):271-287.
    When a risk is exchanged, the exact value for the minimum price (positive or negative) that the purchaser (investor, or insurer) is willing to pay is given by the certainty equivalent wealth level, which in turn depends on his specific utility function. When this utility function is unknown, then only a sufficient condition on the price can ever be found. This paper provides methods for calculating such a sufficient condition, when only limited information on the (...) function is known. (shrink)
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  33. A model for applying information and utility functions.David Harrah - 1963 - Philosophy of Science 30 (3):267-273.
    If the currently available theories of semantic information and utility-expectation are to be applied in a satisfactory way, they must be combined with a message-processing procedure. This paper presents a model of communication within which such a procedure can be defined. In this model the sender's messages arrive over a period of time, the receiver can reject some messages and retain others, the receiver can change his mind in various ways, and the receiver can apply various evaluation functions to (...)
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  34.  11
    Some invariances of the isosensitivity function and their implications for the utility function of money.Eugene Galanter & Garvin L. Holman - 1967 - Journal of Experimental Psychology 73 (3):333.
  35.  41
    Mean utility preserving increases in risk for state dependent utility functions.Michel Demers - 1987 - Theory and Decision 23 (2):113-128.
  36.  8
    Learning a decision maker's utility function from (possibly) inconsistent behavior.Thomas D. Nielsen & Finn V. Jensen - 2004 - Artificial Intelligence 160 (1-2):53-78.
  37.  30
    On the risk-aversion comparability of state-dependent utility functions.Gerald L. Nordquist - 1985 - Theory and Decision 18 (3):287-300.
  38.  36
    Note on two applications of the CEVR utility function.Georges Bernard - 1978 - Theory and Decision 9 (2):199-203.
  39.  30
    An integrated axiomatic approach to the existence of ordinal and cardinal utility functions.Robert Jarrow - 1987 - Theory and Decision 22 (2):99-110.
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  40.  55
    Models of preference reversals and personal rules: Do they require maximizing a utility function with a specific structure?Horacio Arló-Costa - 2005 - Behavioral and Brain Sciences 28 (5):650-651.
    One of the reasons for adopting hyperbolic discounting is to explain preference reversals. Another is that this value structure suggests an elegant theory of the will. I examine the capacity of the theory to solve Newcomb's problem. In addition, I compare Ainslie's account with other procedural theories of choice that seem at least equally capable of accommodating reversals of preference.
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  41.  7
    Just society.Rakesh K. Sarin - 2021 - Theory and Decision 91 (4):417-444.
    I examine the foundations of a just society using the lens of decision theory. The conception of just society is from an individual’s viewpoint: where would I rather live if I have an equal chance of being any individual? Three alternative designs for a just society are examined. These are: laissez-faire, maximin and social minimum. Two assumptions about human nature clarify the distinction among three societies. The first assumption is that a representative individual’s utility function is concave. (...)
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  42.  55
    The Lovász Extension of Market Games.E. Algaba, J. M. Bilbao, J. R. Fernández & A. Jiménez - 2004 - Theory and Decision 56 (1-2):229-238.
    The multilinear extension of a cooperative game was introduced by Owen in 1972. In this contribution we study the Lovász extension for cooperative games by using the marginal worth vectors and the dividends. First, we prove a formula for the marginal worth vectors with respect to compatible orderings. Next, we consider the direct market generated by a game. This model of utility function, proposed by Shapley and Shubik in 1969, is the concave biconjugate extension of the game. (...)
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  43.  49
    Function Ascription and Explanation: Elaborating an Explanatory Utility Desideratum for Ascriptions of Technical Functions.Dingmar van Eck & Erik Weber - 2014 - Erkenntnis 79 (6):1367-1389.
    Current philosophical theorizing about technical functions is mainly focused on specifying conditions under which agents are justified in ascribing functions to technical artifacts. Yet, assessing the precise explanatory relevance of such function ascriptions is, by and large, a neglected topic in the philosophy of technical artifacts and technical functions. We assess the explanatory utility of ascriptions of technical functions in the following three explanation-seeking contexts: why was artifact x produced?, why does artifact x not have the expected capacity (...)
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  44. Review: David Harrah, A Logic of Questions and Answers; David Harrah, Communication: A Logical Model; David Harrah, A Model for Applying Information and Utility Functions. [REVIEW]Nuel D. Belnap - 1964 - Journal of Symbolic Logic 29 (3):136-138.
     
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  45.  22
    David Harrah. A logic of questions and answers. Philosophy of science, vol. 28 , pp. 40–46. - David Harrah. Communication: A logical model. The M.I.T. Press, Cambridge, Massachusetts, 1963, xi + 118 pp. - David Harrah. A model for applying information and utility functions. Philosophy of science, vol. 30 , pp. 267–273. [REVIEW]Nuel D. Belnap - 1964 - Journal of Symbolic Logic 29 (3):136-138.
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  46. The functional utility of consciousness depends on content as well as on state.Anil K. Seth - 2007 - Behavioral and Brain Sciences 30 (1):106-106.
    This commentary considers Merker's mesodiencephalic proposal in relation to quantitative measures of neural dynamics suggested to be relevant to consciousness. I suggest that even if critical neural mechanisms turn out to be subcortical, the functional utility of consciousness will depend on the rich conscious contents generated by continuous interaction of such mechanisms with a thalamocortical envelope. (Published Online May 1 2007).
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  47.  22
    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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  48.  19
    Commentary: Utility of EEG measures of brain function in patients with acute stroke.Brenton Hordacre, Nigel C. Rogasch & Mitchell R. Goldsworthy - 2016 - Frontiers in Human Neuroscience 10.
  49.  15
    Role of Utility and Inference in the Evolution of Functional Information.Alexei A. Sharov - 2009 - Biosemiotics 2 (1):101-115.
    Functional information means an encoded network of functions in living organisms from molecular signaling pathways to an organism’s behavior. It is represented by two components: code and an interpretation system, which together form a self-sustaining semantic closure. Semantic closure allows some freedom between components because small variations of the code are still interpretable. The interpretation system consists of inference rules that control the correspondence between the code and the function (phenotype) and determines the shape of the fitness landscape. The (...)
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  50. Utility theory and ethics.Mongin Philippe & D'Aspremont Claude - 1998 - In Salvador Barbera, Peter J. Hammond & Christian Seidl (eds.), Handbook of Utility Theory: Volume 1: Principles. Kluwer Academic Publishers. pp. 371-481.
    This chapter of the Handbook of Utility Theory aims at covering the connections between utility theory and social ethics. The chapter first discusses the philosophical interpretations of utility functions, then explains how social choice theory uses them to represent interpersonal comparisons of welfare in either utilitarian or non-utilitarian representations of social preferences. The chapter also contains an extensive account of John Harsanyi's formal reconstruction of utilitarianism and its developments in the later literature, especially when society faces uncertainty (...)
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