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  1. Games and Decisions: Introduction and Critical Survey.Robert Duncan Luce & Howard Raiffa - 1957 - New York: Wiley.
    "The best book available for non-mathematicians." — Contemporary Psychology. Superb nontechnical introduction to game theory and related disciplines, primarily as applied to the social sciences. Clear, comprehensive coverage of utility theory, 2-person zero-sum games, 2-person non-zero-sum games, n-person games, individual and group decision-making, much more. Appendixes. Bibliography. Graphs and figures.
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  • Theory of Games and Economic Behavior.John Von Neumann & Oskar Morgenstern - 1944 - Princeton, NJ, USA: Princeton University Press.
    This is the classic work upon which modern-day game theory is based. What began as a modest proposal that a mathematician and an economist write a short paper together blossomed, when Princeton University Press published Theory of Games and Economic Behavior. In it, John von Neumann and Oskar Morgenstern conceived a groundbreaking mathematical theory of economic and social organization, based on a theory of games of strategy. Not only would this revolutionize economics, but the entirely new field of scientific inquiry (...)
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  • (1 other version)A treatise on probability.J. Keynes - 1924 - Revue de Métaphysique et de Morale 31 (1):11-12.
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  • Theory of Games and Economic Behavior.John von Neumann & Oskar Morgenstern - 1944 - Science and Society 9 (4):366-369.
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  • (1 other version)The Foundations of Mathematics and Other Logical Essays.Frank Plumpton Ramsey - 1925 - London, England: Routledge & Kegan Paul. Edited by R. B. Braithwaite.
    First published in 2000. Routledge is an imprint of Taylor & Francis, an informa company.
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  • (1 other version)Judgment under Uncertainty: Heuristics and Biases.Amos Tversky & Daniel Kahneman - 1974 - Science 185 (4157):1124-1131.
    This article described three heuristics that are employed in making judgements under uncertainty: representativeness, which is usually employed when people are asked to judge the probability that an object or event A belongs to class or process B; availability of instances or scenarios, which is often employed when people are asked to assess the frequency of a class or the plausibility of a particular development; and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value (...)
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  • Scientific Representation: Paradoxes of Perspective.Bas C. Van Fraassen - 2008 - Oxford, GB: Oxford University Press UK.
    Bas C. van Fraassen presents an original exploration of how we represent the world.
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  • Representation and Invariance of Scientific Structures.Patrick Suppes - 2002 - CSLI Publications (distributed by Chicago University Press).
    An early, very preliminary edition of this book was circulated in 1962 under the title Set-theoretical Structures in Science. There are many reasons for maintaining that such structures play a role in the philosophy of science. Perhaps the best is that they provide the right setting for investigating problems of representation and invariance in any systematic part of science, past or present. Examples are easy to cite. Sophisticated analysis of the nature of representation in perception is to be found already (...)
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  • Risk, Uncertainty and Profit.Frank H. Knight - 1921 - University of Chicago Press.
    Role of the entrepreneur in a distinct role of profit.
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  • La Prévision: Ses Lois Logiques, Ses Sources Subjectives.Bruno de Finetti - 1937 - Annales de l'Institut Henri Poincaré 7 (1):1-68.
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  • The Enterprise of Knowledge: An Essay on Knowledge, Credal Probability, and Chance.Isaac Levi - 1980 - MIT Press.
    This major work challenges some widely held positions in epistemology - those of Peirce and Popper on the one hand and those of Quine and Kuhn on the other.
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  • The Foundations of Statistics.Leonard Savage - 1954 - Wiley Publications in Statistics.
    Classic analysis of the subject and the development of personal probability; one of the greatest controversies in modern statistcal thought.
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  • Statistical Reasoning with Imprecise Probabilities.Peter Walley - 1991 - Chapman & Hall.
    An examination of topics involved in statistical reasoning with imprecise probabilities. The book discusses assessment and elicitation, extensions, envelopes and decisions, the importance of imprecision, conditional previsions and coherent statistical models.
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  • Truth and probability.Frank Ramsey - 2010 - In Antony Eagle (ed.), Philosophy of Probability: Contemporary Readings. New York: Routledge. pp. 52-94.
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  • (1 other version)On indeterminate probabilities.Isaac Levi - 1974 - Journal of Philosophy 71 (13):391-418.
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  • Judgment Under Uncertainty: Heuristics and Biases.Daniel Kahneman, Paul Slovic & Amos Tversky (eds.) - 1982 - Cambridge University Press.
    The thirty-five chapters in this book describe various judgmental heuristics and the biases they produce, not only in laboratory experiments but in important...
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  • Choices, Values, and Frames.Daniel Kahneman & Amos Tversky (eds.) - 2000 - Cambridge University Press.
    This book presents the definitive exposition of 'prospect theory', a compelling alternative to the classical utility theory of choice. Building on the 1982 volume, Judgement Under Uncertainty, this book brings together seminal papers on prospect theory from economists, decision theorists, and psychologists, including the work of the late Amos Tversky, whose contributions are collected here for the first time. While remaining within a rational choice framework, prospect theory delivers more accurate, empirically verified predictions in key test cases, as well as (...)
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  • Belief Contraction in the Context of the General Theory of Rational Choice.Hans Rott - 1993 - Journal of Symbolic Logic 59 (4):1426-1450.
    This paper reorganizes and further develops the theory of partial meet contraction which was introduced in a classic paper by Alchourron, Gardenfors, and Makinson. Our purpose is threefold. First, we put the theory in a broader perspective by decomposing it into two layers which can respectively be treated by the general theory of choice and preference and elementary model theory. Second, we reprove the two main representation theorems of AGM and present two more representation results for the finite case that (...)
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  • (1 other version)A Treatise on Probability.J. M. Keynes - 1989 - British Journal for the Philosophy of Science 40 (2):219-222.
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  • Hard Choices: Decision Making Under Unresolved Conflict.Isaac Levi - 1986 - New York: Cambridge University Press.
    It is a commonplace that in making decisions agents often have to juggle competing values, and that no choice will maximise satisfaction of them all. However, the prevailing account of these cases assumes that there is always a single ranking of the agent's values, and therefore no unresolvable conflict between them. Isaac Levi denies this assumption, arguing that agents often must choose without having balanced their different values and that to be rational, an act does not have to be optimal, (...)
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  • Games and Decisions: Introduction and Critical Survey.R. Duncan Luce & Howard Raiffa - 1958 - Philosophy and Phenomenological Research 19 (1):122-123.
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  • Decision Theory Without “Independence” or Without “Ordering”.Teddy Seidenfeld - 1988 - Economics and Philosophy 4 (2):267.
    It is a familiar argument that advocates accommodating the so-called paradoxes of decision theory by abandoning the “independence” postulate. After all, if we grant that choice reveals preference, the anomalous choice patterns of the Allais and Ellsberg problems violate postulate P2 of Savage's system. The strategy of making room for new preference patterns by relaxing independence is adopted in each of the following works: Samuelson, Kahneman and Tversky's “Prospect Theory”, Allais and Hagen, Fishburn, Chew and MacCrimmon, McClennen, and in closely (...)
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  • (1 other version)Unreliable probabilities, risk taking, and decision making.Peter Gärdenfors & Nils-Eric Sahlin - 1982 - Synthese 53 (3):361-386.
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  • (1 other version)Unreliable probabilities, risk taking and decision making.Peter Gärdenfors & Nils-Eric Sahlin - 1988 - In Peter Gärdenfors & Nils-Eric Sahlin (eds.), Decision, Probability and Utility: Selected Readings. Cambridge University Press. pp. 313-334.
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  • Coherent choice functions under uncertainty.Teddy Seidenfeld, Mark J. Schervish & Joseph B. Kadane - 2010 - Synthese 172 (1):157-176.
    We discuss several features of coherent choice functions—where the admissible options in a decision problem are exactly those that maximize expected utility for some probability/utility pair in fixed set S of probability/utility pairs. In this paper we consider, primarily, normal form decision problems under uncertainty—where only the probability component of S is indeterminate and utility for two privileged outcomes is determinate. Coherent choice distinguishes between each pair of sets of probabilities regardless the “shape” or “connectedness” of the sets of probabilities. (...)
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  • Risk, Ambiguity and Decision.Daniel Ellsberg - 2001 - Routledge.
    Ellsberg elaborates on "Risk, Ambiguity, and the Savage Axioms" and mounts a powerful challenge to the dominant theory of rational decision in this book.
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  • Rethinking the Foundations of Statistics.Joseph B. Kadane, Mark J. Schervish & Teddy Seidenfeld - 1999 - Cambridge University Press.
    This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic of the collection is understanding how the norms for Bayesian decision making should apply in settings with more than one rational decision maker and then tracing out some of the consequences of this turn for Bayesian statistics. There are four principal themes to the collection: cooperative, non-sequential decisions; the representation and measurement of 'partially ordered' preferences; non-cooperative, sequential decisions; and pooling (...)
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  • Prospect Theory: An Analysis of Decision Under Risk.D. Kahneman & A. Tversky - 1979 - Econometrica: Journal of the Econometric Society:263--291.
    The following values have no corresponding Zotero field: PB - JSTOR.
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  • 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 with (...)
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  • Rationality and Freedom.Amartya Sen - 2005 - Tijdschrift Voor Filosofie 67 (1):182-183.
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  • Lecture Notes in Microeconomic Theory: The Economic Agent.Ariel Rubinstein - 2006 - Princeton University Press.
    This book presents Ariel Rubinstein's lecture notes for the first part of his well-known graduate course in microeconomics.
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  • (1 other version)The Foundations of Statistics.Leonard J. Savage - 1954 - Synthese 11 (1):86-89.
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  • Hard Choices: Decision Making Under Unresolved Conflict.Isaac Levi - 1991 - Mind 100 (2):297-300.
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  • On the Shared Preferences of Two Bayesian Decision Makers.Teddy Seidenfeld, Joseph B. Kadane & Mark J. Schervish - 1989 - Journal of Philosophy 86 (5):225.
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  • (1 other version)On Indeterminate Probabilities.Isaac Levi - 1978 - Journal of Philosophy 71 (13):233--261.
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  • A contrast between two decision rules for use with (convex) sets of probabilities: Γ-maximin versus e-admissibilty.T. Seidenfeld - 2004 - Synthese 140 (1-2):69 - 88.
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  • Extensions of expected utility theory and some limitations of pairwise comparisons.Teddy Seidenfeld - unknown
    We contrast three decision rules that extend Expected Utility to contexts where a convex set of probabilities is used to depict uncertainty: Γ-Maximin, Maximality, and E-admissibility. The rules extend Expected Utility theory as they require that an option is inadmissible if there is another that carries greater expected utility for each probability in a (closed) convex set. If the convex set is a singleton, then each rule agrees with maximizing expected utility. We show that, even when the option set is (...)
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  • The Rationalizability of Two-Step Choices.Ruth Poproski - 2010 - Journal of Philosophical Logic 39 (6):713 - 743.
    This paper presents a formal characterization of a two stage decision rule. This characterization involves three conditions which, together, are satisfied by any choice function that can be represented as a two-tier choice function. And any choice function satisfying these three conditions can be represented as a two-tier choice function. The first condition identifies particular features of two-tier choice functions when they violate Property α. The other two conditions are essentially existence claims, required to ensure that the two tiers of (...)
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  • Bets and beliefs.Henry E. Kyburg - 1968 - American Philosophical Quarterly 5 (1):54-63.
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