Search results for 'Jeffrey Metzger' (try it on Scholar)

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  1. Jeffrey A. Metzger (ed.) (2009). Nietzsche, Nihilism, and the Philosophy of the Future. Continuum.score: 240.0
    Nietzsche, Nihilism and the Philosophy of the Future examines Nietzsche's analysis of and response to contemporary nihilism, the sense that nothing has value or ...
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  2. Jeffrey Metzger (2010). Richard Rorty's Disenchanted Liberalism. Contemporary Pragmatism 7 (1):107-128.score: 240.0
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  3. Jeffrey Metzger (2009). How Deep Are the Roots of Nihilism? : Nietzsche on the Creative Power of Nature and Morality. In Jeffrey A. Metzger (ed.), Nietzsche, Nihilism, and the Philosophy of the Future. Continuum.score: 240.0
     
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  4. Jeffrey Church (2014). Nietzsche, Nihilism, and the Philosophy of the Future Ed. By Jeffrey Metzger (Review). Journal of Nietzsche Studies 44 (3):495-497.score: 186.0
    In his introduction, Jeffrey Metzger states that “at some point in the past 20 or 30 years … Nietzsche’s name [became] no longer associated primarily with nihilism” (1). Metzger is pointing to the increasing contemporary scholarly interest in Nietzsche’s epistemology, naturalism, and metaethics. The worthy aim of this volume is to ask us to examine once again the underlying philosophical problem to which these views are a response, namely, nihilism. This volume helpfully reminds us that Nietzsche’s philosophical (...)
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  5. Richard C. Jeffrey (2004). Formal Logic: Its Scope and Limits. Hackett Pub..score: 60.0
    This brief paperback is designed for symbolic/formal logic courses. It features the tree method proof system developed by Jeffrey. The new edition contains many more examples and exercises and is reorganized for greater accessibility.
     
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  6. Richard C. Jeffrey (1992). Probability and the Art of Judgment. Cambridge University Press.score: 60.0
    Richard Jeffrey is beyond dispute one of the most distinguished and influential philosophers working in the field of decision theory and the theory of knowledge. His work is distinctive in showing the interplay of epistemological concerns with probability and utility theory. Not only has he made use of standard probabilistic and decision theoretic tools to clarify concepts of evidential support and informed choice, he has also proposed significant modifications of the standard Bayesian position in order that it provide a (...)
     
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  7. Richard C. Jeffrey (1956). Valuation and Acceptance of Scientific Hypotheses. Philosophy of Science 23 (3):237-246.score: 30.0
  8. Richard C. Jeffrey (1974). Preference Among Preferences. Journal of Philosophy 71 (13):377-391.score: 30.0
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  9. Richard C. Jeffrey (1975). Probability and Falsification: Critique of the Popper Program. Synthese 30 (1-2):95 - 117.score: 30.0
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  10. Richard Jeffrey (1987). Indefinite Probability Judgment: A Reply to Levi. Philosophy of Science 54 (4):586-591.score: 30.0
    Isaac Levi and I have different views of probability and decision making. Here, without addressing the merits, I will try to answer some questions recently asked by Levi (1985) about what my view is, and how it relates to his.
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  11. Richard Jeffrey (1996). Unknown Probabilities. Erkenntnis 45 (2-3):327 - 335.score: 30.0
    From a point of view like de Finetti's, what is the judgmental reality underlying the objectivistic claim that a physical magnitude X determines the objective probability that a hypothesis H is true? When you have definite conditional judgmental probabilities for H given the various unknown values of X, a plausible answer is sufficiency, i.e., invariance of those conditional probabilities as your probability distribution over the values of X varies. A different answer, in terms of conditional exchangeability, is offered for use (...)
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  12. Richard C. Jeffrey (1991). After Carnap. Erkenntnis 35 (1-3):255 - 262.score: 30.0
  13. Richard C. Jeffrey (1971). On Interpersonal Utility Theory. Journal of Philosophy 68 (20):647-656.score: 30.0
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  14. Richard Jeffrey (1981). The Logic of Decision Defended. Synthese 48 (3):473 - 492.score: 30.0
    The approach to decision theory floated in my 1965 book is reviewed (I), challenged in various related ways (II–V) and defended, firstad hoc (II–IV) and then by a general argument of Ellery Ells's (VI). Finally, causal decision theory (in a version sketched in VII) is exhibited as a special case of my 1965 theory, according to the Eellsian argument.
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  15. Richard C. Jeffrey (1973). Carnap's Inductive Logic. Synthese 25 (3-4):299 - 306.score: 30.0
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  16. Richard Jeffrey (1993). Take Back the Day! Jon Dorling's Bayesian Solution of the Duhem Problem. Philosophical Issues 3:197-207.score: 30.0
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  17. Dan R. Dalton & Michael B. Metzger (1993). “Integrity Testing” for Personnel Selection: An Unsparing Perspective. [REVIEW] Journal of Business Ethics 12 (2):147 - 156.score: 30.0
    Federal legislation (the Employee Polygraph Protection Act) adopted in 1988 prohibits virtually all private sector employers from requiring or requesting preemployment polygraph examinations for prospective employees. Since then, written integrity testing designed to reliably distinguish those prospective employees who may steal from the company from those who are far less likely to do so has been something of a growth industry. Indeed, the American Psychological Association has recently noted that honesty tests have demonstrated useful levels of validity as an employee (...)
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  18. Richard A. Bernardi, Rene L. Metzger, Ryann G. Scofield Bruno, Marisa A. Wade Hoogkamp, Lillian E. Reyes & Gary H. Barnaby (2004). Examining the Decision Process of Students' Cheating Behavior: An Empirical Study. [REVIEW] Journal of Business Ethics 50 (4):397-414.score: 30.0
    This research examines the association between attitudes on cheating and cognitive moral development. In this research, we use Rest's (1979a) Defining Issues Test, the Attitudes on Honesty Scale (Authors) and Academic Integrity Index (Authors); the last two are adaptations of the DIT. A total of 220 students from three universities participated in the study (66 psychology majors and 154 business majors). The data indicate that 66.4 percent of the students reported that they cheated in high school, college, or both high (...)
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  19. David Campbell, Geoff Moore & Matthias Metzger (2002). Corporate Philanthropy in the U.K. 1985–2000 Some Empirical Findings. Journal of Business Ethics 39 (1-2):29 - 41.score: 30.0
    This paper briefly reviews the theories that seek to explain the phenomenon of corporate charitable donations and then provides a review of the empirical issues that have arisen in previous studies in this area. The findings of an analysis of charitable donations data from the entire U.K. FTSE index for the years 1985–2000 are then reported. These findings include the observation of a time-related increase in charitable donations, which is compared with an earlier study to give a 24 year history (...)
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  20. Richard Jeffrey (2002). Logicism Lite. Philosophy of Science 69 (3):474-496.score: 30.0
    Logicism Lite counts number‐theoretical laws as logical for the same sort of reason for which physical laws are counted as as empirical: because of the character of the data they are responsible to. In the case of number theory these are the data verifying or falsifying the simplest equations, which Logicism Lite counts as true or false depending on the logical validity or invalidity of first‐order argument forms in which no numbertheoretical notation appears.
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  21. Richard Jeffrey (1986). Probabilism and Induction. Topoi 5 (1):51-58.score: 30.0
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  22. Richard Jeffrey (1995). A Brief Guide to the Work of Carl Gustav Hempel. Erkenntnis 42 (1):3 - 7.score: 30.0
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  23. Richard Jeffrey (1987). Alias Smith and Jones: The Testimony of the Senses. [REVIEW] Erkenntnis 26 (3):391 - 399.score: 30.0
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  24. Richard C. Jeffrey (1965). Ethics and the Logic of Decision. Journal of Philosophy 62 (19):528-539.score: 30.0
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  25. Richard Jeffrey (1992). Radical Probabilism (Prospectus for a User's Manual). Philosophical Issues 2:193-204.score: 30.0
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  26. Richard Jeffrey (1995). Probability Reparation: The Problem of New Explanation. [REVIEW] Philosophical Studies 77 (1):97 - 101.score: 30.0
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  27. Richard C. Jeffrey (1966). Goodman's Query. Journal of Philosophy 63 (11):281-288.score: 30.0
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  28. Richard C. Jeffrey (1977). A Note on the Kinematics of Preference. Erkenntnis 11 (1):135 - 141.score: 30.0
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  29. Charles R. Metzger (1952). Emerson's Religious Conception of Beauty. Journal of Aesthetics and Art Criticism 11 (1):67-74.score: 30.0
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  30. Richard Jeffrey (1984). De Finetti's Probabilism. Synthese 60 (1):73 - 90.score: 30.0
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  31. Richard C. Jeffrey (1964). Popper on the Rule of Succession. Mind 73 (289):129.score: 30.0
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  32. Richard Jeffrey (1997). In Memoriam: Carl Gustav Hempel. [REVIEW] Erkenntnis 47 (3):281-283.score: 30.0
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  33. Richard C. Jeffrey (1963). On Indeterminate Conditionals. Philosophical Studies 14 (3):37 - 43.score: 30.0
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  34. Richard C. Jeffrey (1975). Replies. Synthese 30 (1-2):149 - 157.score: 30.0
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  35. Maria Carla Galavotti & Richard Jeffrey (1989). Preface. Erkenntnis 31 (2-3):165-167.score: 30.0
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  36. Richard Jeffrey (1989). Reading Probabilismo. Erkenntnis 31 (2-3):225 - 237.score: 30.0
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  37. Richard C. Jeffrey (1968). The Whole Truth. Synthese 18 (1):24 - 27.score: 30.0
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  38. Mary Ann Metzger (1993). A Step in the Right Direction. Philosophical Explorations.score: 30.0
    A review of W. Thomas Miller, III, Richard S. Sutton, and Paul J. Werbos (Eds.) Neural Networks for Control. Cambridge, Massachusetts: The MIT Press. 1990. pp. 524. This multi-disciplinary volume concerns the use of artificial neural networks in controlling dynamical processes. As used here 'dynamical' describes processes, such as certain chemical reaction systems, robots, or manufacturing plants, whose operation is governed by known or unknown non-linear models and which, therefore, are subject to certain types of problems related to unpredictability and (...)
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  39. Walter P. Metzger (1949). Ideology and the Intellectual: A Study of Thorstein Veblen. Philosophy of Science 16 (2):125-133.score: 30.0
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  40. Richard C. Jeffrey (1959). A Note on Finch's "an Explication of Counterfactuals by Probability Theory". Philosophy and Phenomenological Research 20 (1):116.score: 30.0
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  41. Liliana Albertazzi (2011). On Seeing: Remarks on Metzger's Laws of Seeing. [REVIEW] Axiomathes 21 (4):581-595.score: 24.0
    Nowadays cognitive science often views sensorial presentations and mental presentations as mutually exclusive, and they are also given separate treatment by neurophysiologists and by cognitive scientists, and some phenomena (like anomalous surfaces or various types of imagery) are reduced to either the former or the latter. Since no adequate methods for its investigation have been developed, the level of perceptual experiences analysed by Gestaltists and magnificently illustrated by Metzger in his Laws of Seeing remains unexplored. Starting from Metzger’s (...)
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  42. Lydia McGrew (2014). Jeffrey Conditioning, Rigidity, and the Defeasible Red Jelly Bean. Philosophical Studies 168 (2):569-582.score: 24.0
    Jonathan Weisberg has argued that Jeffrey Conditioning is inherently “anti-holistic” By this he means, inter alia, that JC does not allow us to take proper account of after-the-fact defeaters for our beliefs. His central example concerns the discovery that the lighting in a room is red-tinted and the relationship of that discovery to the belief that a jelly bean in the room is red. Weisberg’s argument that the rigidity required for JC blocks the defeating role of the red-tinted light (...)
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  43. Ilho Park (2013). Simultaneous Belief Updates Via Successive Jeffrey Conditionalization. Synthese 190 (16):3511-3533.score: 24.0
    This paper discusses simultaneous belief updates. I argue here that modeling such belief updates using the Principle of Minimum Information can be regarded as applying Jeffrey conditionalization successively, and so that, contrary to what many probabilists have thought, the simultaneous belief updates can be successfully modeled by means of Jeffrey conditionalization.
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  44. Hartry Field (1978). A Note on Jeffrey Conditionalization. Philosophy of Science 45 (3):361-367.score: 18.0
    Bayesian decision theory can be viewed as the core of psychological theory for idealized agents. To get a complete psychological theory for such agents, you have to supplement it with input and output laws. On a Bayesian theory that employs strict conditionalization, the input laws are easy to give. On a Bayesian theory that employs Jeffrey conditionalization, there appears to be a considerable problem with giving the input laws. However, Jeffrey conditionalization can be reformulated so that the problem (...)
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  45. Alan Hájek (2006). In Memory of Richard Jeffrey: Some Reminiscences and Some Reflections onThe Logic of Decision. Philosophy of Science 73 (5):947-958.score: 18.0
    This paper is partly a tribute to Richard Jeffrey, partly a reflection on some of his writings, The Logic of Decision in particular. I begin with a brief biography and some fond reminiscences of Dick. I turn to some of the key tenets of his version of Bayesianism. All of these tenets are deployed in my discussion of his response to the St. Petersburg paradox, a notorious problem for decision theory that involves a game of infinite expectation. Prompted by (...)
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  46. Glenn Shafer (1981). Jeffrey's Rule of Conditioning. Philosophy of Science 48 (3):337-362.score: 18.0
    Richard Jeffrey's generalization of Bayes' rule of conditioning follows, within the theory of belief functions, from Dempster's rule of combination and the rule of minimal extension. Both Jeffrey's rule and the theory of belief functions can and should be construed constructively, rather than normatively or descriptively. The theory of belief functions gives a more thorough analysis of how beliefs might be constructed than Jeffrey's rule does. The inadequacy of Bayesian conditioning is much more general than Jeffrey's (...)
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  47. Marcelo Tsuji (2000). Partial Structures and Jeffrey-Keynes Algebras. Synthese 125 (1-2):283-299.score: 18.0
    In Tsuji 1997 the concept of Jeffrey-Keynes algebras was introduced in order to construct a paraconsistent theory of decision under uncertainty. In the present paper we show that these algebras can be used to develop a theory of decision under uncertainty that measures the degree of belief on the quasi (or partial) truth of the propositions. As applications of this new theory of decision, we use it to analyze Popper's paradox of ideal evidence and to indicate a possible way (...)
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  48. Hans Joas (1988). The Antinomies of Neofunctionalism: A Critical Essay on Jeffrey Alexander. Inquiry 31 (4):471 – 494.score: 18.0
    Since the beginning of the ?eighties of the present century, a circle of relatively young American sociologists who are followers of Jeffrey Alexander are making energetic and spectacular efforts to supply sociology with a uniform and comprehensive theoretical framework by continuing Talcott Parsons' lifework. The present article is an appreciation of Alexander's achievements in the justification of a general sociological theory (especially a theory of action and social order) while pointing to objections that can be raised against the character (...)
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  49. Virginia Moyer, Steven M. Teutsch & Jeffrey R. Botkin (2009). Virginia Moyer, Steven M. Teutsch, and Jeffrey R. Botkin Reply. Hastings Center Report 39 (1):7-8.score: 18.0
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  50. Carl Wagner, Jeffrey Conditioning and External Bayesianity.score: 18.0
    Abstract. Suppose that several individuals who have separately assessed prior probability distributions over a set of possible states of the world wish to pool their individual distributions into a single group distribution, while taking into account jointly perceived new evidence. They have the option of (i) first updating their individual priors and then pooling the resulting posteriors or (ii) first pooling their priors and then updating the resulting group prior. If the pooling method that they employ is such that they (...)
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