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  1. Non-Measurability, Imprecise Credences, and Imprecise Chances.Yoaav Isaacs, Alan Hájek & John Hawthorne - 2021 - Mind 131 (523):892-916.
    – We offer a new motivation for imprecise probabilities. We argue that there are propositions to which precise probability cannot be assigned, but to which imprecise probability can be assigned. In such cases the alternative to imprecise probability is not precise probability, but no probability at all. And an imprecise probability is substantially better than no probability at all. Our argument is based on the mathematical phenomenon of non-measurable sets. Non-measurable propositions cannot receive precise probabilities, but there is a natural (...)
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  • Comparative Probabilities.Jason Konek - 2019 - In Richard Pettigrew & Jonathan Weisberg (eds.), The Open Handbook of Formal Epistemology. PhilPapers Foundation. pp. 267-348.
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  • (2 other versions)A Hundred Years Of Numbers. An Historical Introduction To Measurement Theory 1887–1990.JoséA Díez - 1997 - Studies in History and Philosophy of Science Part A 28 (2):237-265.
    Part II: Suppes and the mature theory. Representation and uniqueness.
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  • Structural representation and surrogative reasoning.Chris Swoyer - 1991 - Synthese 87 (3):449 - 508.
    It is argued that a number of important, and seemingly disparate, types of representation are species of a single relation, here called structural representation, that can be described in detail and studied in a way that is of considerable philosophical interest. A structural representation depends on the existence of a common structure between a representation and that which it represents, and it is important because it allows us to reason directly about the representation in order to draw conclusions about the (...)
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  • Ordered preference differences without ordered preferences.Peter C. Fishburn - 1986 - Synthese 67 (2):361 - 368.
    Axiomatizations of ordered preference differences typically assume that preferences are ordered. However, the mere assumption that preference differences can be ordered says nothing about whether preferences themselves are ordered. Utility representations for ordered differences without ordered preferences are investigated.
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  • (1 other version)Bayesian Inference with Indeterminate Probabilities.Stephen Spielman - 1976 - PSA Proceedings of the Biennial Meeting of the Philosophy of Science Association 1976 (1):184-196.
    There is an increasing recognition by friends of personal probability that the standard systems of personal probability do not provide a fully adequate basis for the theories of scientific inference and rational decision making. This recognition has methodological and formal components. On the methodological side, Jeffrey [8] and Spielman [16], [17] have suggested that personal probabilities should be interpreted as judgments about thecredibilityof propositions, i.e., as appraisals of the degrees of confidence that are warranted by the information available to the (...)
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  • Even-chance lotteries in social choice theory.Peter C. Fishburn - 1972 - Theory and Decision 3 (1):18-40.
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  • Multiattribute utility theory: A survey.Mustafa R. Yilmaz - 1978 - Theory and Decision 9 (4):317-347.
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  • Models of individual preference and choice.Peter C. Fishburn - 1977 - Synthese 36 (3):287 - 314.
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  • Lockean Beliefs, Dutch Books, and Scoring Systems.Daniel Rothschild - 2021 - Erkenntnis 88 (5):1979-1995.
    On the Lockean thesis one ought to believe a proposition if and only if one assigns it a credence at or above a threshold (Foley in Am Philos Q 29(2):111–124, 1992). The Lockean thesis, thus, provides a way of characterizing sets of all-or-nothing beliefs. Here we give two independent characterizations of the sets of beliefs satisfying the Lockean thesis. One is in terms of betting dispositions associated with full beliefs and one is in terms of an accuracy scoring system for (...)
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  • Extensive measurement in semiorders.David H. Krantz - 1967 - Philosophy of Science 34 (4):348-362.
    In both axiomatic theories and the practice of extensive measurement, it is assumed that a series of replicas of any given object can be found. The replicas give rise to a standard series, the "multiples" of the given object. The numerical value assigned to any object is determined, approximately, by comparisons with members of a suitable standard series. This prescription introduces unspecified errors, if the comparison process is somewhat insensitive, so that "replicas" are not really equivalent. In this paper, it (...)
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  • Measurement: An essay in philosophy of science.Stig Kanger - 1972 - Theoria 38 (1-2):1-44.
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  • Utility theory with inexact preferences and degrees of preference.Peter C. Fishburn - 1970 - Synthese 21 (2):204 - 221.
    a–b* c–d is taken to mean that your degree of preference for a over b is less than your degree of preference for c over d. Various properties of the strength-of-preference comparison relation * are examined along with properties of simple preferences defined from *. The investigation recognizes an individual's limited ability to make precise judgments. Several utility theorems relating a–b * c–d to u(a)–u(b) are included.
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  • Introducción histórica a la teoría de la metrización : Suppes y la teoría madura: representación y unicidad.José Antonio Díez Calzada - 1994 - Endoxa 1 (3):31.
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  • (2 other versions)A hundred years of numbers. An historical introduction to measurement theory 1887–1990.JoséA Díez - 1997 - Studies in History and Philosophy of Science Part A 28 (1):167-185.
    Part II: Suppes and the mature theory. Representation and uniqueness.
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  • On the nature and purpose of measurement.Ernest W. Adams - 1966 - Synthese 16 (2):125 - 169.
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