Results for 'Jeffrey Stepnisky'

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  1.  18
    Social Psychology From Flat to Round: Intersubjectivity and Space in Peter Sloterdijk's Bubbles.Jeffrey Stepnisky - 2014 - Journal for the Theory of Social Behaviour 44 (4):413-435.
    In this paper I describe the relevance of philosopher Peter Sloterdijk's book Bubbles for social psychology. Bubbles offers the opportunity for the development of what I call a round social psychology. This is in contrast to the flatness characteristic of some of the more influential contemporary varieties of social psychology. Flat social psychology stays close to the ground, and is focused on the coordination of action. Round social psychology describes the atmosphere that surrounds and makes interaction possible in the first (...)
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  2.  35
    David Miller. A Paradox of Information. The British Journal for the Philosophy of Science, Vol. 17 No. 1 , Pp. 59–61. - Karl R. Popper. A Comment on Miller's New Paradox of Information. The British Journal for the Philosophy of Science, Vol. 17 No. 1 , Pp. 61–69. - Karl R. Popper. A Paradox of Zero Information. The British Journal for the Philosophy of Science, Vol. 17 No. 2, Pp. 141–143. - J. L. Mackie. Miller's so-Called Paradox of Information.The British Journal for the Philosophy of Science, Vol. 17 No. 2, Pp. 144–147. - David Miller. On a so-Called so-Called Paradox: A Reply to Professor J. L. Mackie.The British Journal for the Philosophy of Science, Vol. 17 No. 2, Pp. 147–149. - Jeffrey Bub and Michael Radner. Miller's Paradox of Information.The British Journal for the Philosophy of Science, Vol. 19 No. 1 , Pp. 63–67. - David Miller. The Straight and Narrow Rule of Induction: A Reply to Dr Bub and Mr Radner.The British Journal for the Philosophy of Science, Vol. 19 No. 2, Pp. 145. [REVIEW]Richard C. Jeffrey - 1970 - Journal of Symbolic Logic 35 (1):124-127.
  3. Probability, Dynamics, and Causality Essays in Honour of Richard C. Jeffrey.Domenico Costantini, Maria Carla Galavotti & Richard C. Jeffrey - 1997
     
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  4. Probability and the Art of Judgment.Richard Jeffrey - 1992 - Cambridge University Press.
    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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  5. Formal Logic: Its Scope and Limits.Richard C. Jeffrey - 1967 - Hackett.
    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. Valuation and Acceptance of Scientific Hypotheses.Richard C. Jeffrey - 1956 - Philosophy of Science 23 (3):237-246.
  7. Preference Among Preferences.Richard C. Jeffrey - 1974 - Journal of Philosophy 71 (13):377-391.
  8. Logicism Lite.Richard Jeffrey - 2002 - Philosophy of Science 69 (3):474-496.
    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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  9.  63
    Indefinite Probability Judgment: A Reply to Levi.Richard Jeffrey - 1987 - Philosophy of Science 54 (4):586-591.
    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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  10. Goodman's Query.Richard C. Jeffrey - 1966 - Journal of Philosophy 63 (11):281-288.
  11.  45
    Radical Probabilism (Prospectus for a User's Manual).Richard Jeffrey - 1992 - Philosophical Issues 2:193-204.
  12.  63
    On Interpersonal Utility Theory.Richard C. Jeffrey - 1971 - Journal of Philosophy 68 (20):647-656.
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  13.  45
    Ethics and the Logic of Decision.Richard C. Jeffrey - 1965 - Journal of Philosophy 62 (19):528-539.
  14.  46
    Take Back the Day! Jon Dorling's Bayesian Solution of the Duhem Problem.Richard Jeffrey - 1993 - Philosophical Issues 3:197-207.
  15.  38
    Popper on the Rule of Succession.Richard C. Jeffrey - 1964 - Mind 73 (289):129.
  16.  31
    A Note on Finch's "an Explication of Counterfactuals by Probability Theory".Richard C. Jeffrey - 1959 - Philosophy and Phenomenological Research 20 (1):116.
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  17. Belief Revision Generalized: A Joint Characterization of Bayes's and Jeffrey's Rules.Franz Dietrich, Christian List & Richard Bradley - 2016 - Journal of Economic Theory 162:352-371.
    We present a general framework for representing belief-revision rules and use it to characterize Bayes's rule as a classical example and Jeffrey's rule as a non-classical one. In Jeffrey's rule, the input to a belief revision is not simply the information that some event has occurred, as in Bayes's rule, but a new assignment of probabilities to some events. Despite their differences, Bayes's and Jeffrey's rules can be characterized in terms of the same axioms: "responsiveness", which requires (...)
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  18.  32
    Confirmation Based on Analogical Inference: Bayes Meets Jeffrey.Christian J. Feldbacher-Escamilla & Alexander Gebharter - 2020 - Canadian Journal of Philosophy 50 (2):174-194.
    Certain hypotheses cannot be directly confirmed for theoretical, practical, or moral reasons. For some of these hypotheses, however, there might be a workaround: confirmation based on analogical reasoning. In this paper we take up Dardashti, Hartmann, Thébault, and Winsberg’s (in press) idea of analyzing confirmation based on analogical inference Baysian style. We identify three types of confirmation by analogy and show that Dardashti et al.’s approach can cover two of them. We then highlight possible problems with their model as a (...)
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  19. Jeffrey Conditionalization, the Principal Principle, the Desire as Belief Thesis, and Adams's Thesis.Ittay Nissan-Rozen - 2013 - British Journal for the Philosophy of Science 64 (4):axs039.
    I show that David Lewis’s principal principle is not preserved under Jeffrey conditionalization. Using this observation, I argue that Lewis’s reason for rejecting the desire as belief thesis and Adams’s thesis applies also to his own principal principle. 1 Introduction2 Adams’s Thesis, the Desire as Belief Thesis, and the Principal Principle3 Jeffrey Conditionalization4 The Principal Principles Not Preserved under Jeffrey Conditionalization5 Inadmissible Experiences.
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  20. What's Wrong with "What's Wrong with Libertarianism": A Reply to Jeffrey Friedman.J. C. Lester - 2016 - In Arguments for Liberty: A Libertarian Miscellany. pp. 95-101.
    This essay explains Jeffrey Friedman's two fundamental and persistent philosophical errors concerning the libertarian conception of liberty and the lack of a "justification‟ of libertarianism. It is ironic that Friedman himself is thereby revealed to be guilty of both an “a priori” anti-libertarianism and an anti-libertarian “straddle.” Critical-rationalist, proactive-imposition-minimising libertarianism remains completely unchallenged by him.
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  21.  21
    Credence for Conclusions: A Brief for Jeffrey’s Rule.John R. Welch - forthcoming - Synthese:1-22.
    Some arguments are good; others are not. How can we tell the difference? This article advances three proposals as a partial answer to this question. The proposals are keyed to arguments conditioned by different degrees of uncertainty: mild, where the argument’s premises are hedged with point-valued probabilities; moderate, where the premises are hedged with interval probabilities; and severe, where the premises are hedged with non-numeric plausibilities such as ‘very likely’ or ‘unconfirmed’. For mild uncertainty, the article proposes to apply a (...)
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  22.  49
    Aquinas’s Ontology of the Material World: Change, Hylomorphism, and Material Objects. By Jeffrey E. Brower. [REVIEW]Timothy Pawl - 2015 - American Catholic Philosophical Quarterly 89 (4):723-727.
    I review Jeffrey Brower's book, "Aquinas's Ontology of the Material World".
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  23.  55
    Simultaneous Belief Updates Via Successive Jeffrey Conditionalization.Ilho Park - 2013 - Synthese 190 (16):3511-3533.
    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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  24.  46
    Jeffrey Conditioning, Rigidity, and the Defeasible Red Jelly Bean.Lydia McGrew - 2014 - Philosophical Studies 168 (2):569-582.
    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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  25.  43
    Explicating Formal Epistemology: Carnap's Legacy as Jeffrey's Radical Probabilism.Christopher F. French - 2015 - Studies in History and Philosophy of Science Part A 53:33–42.
  26.  28
    Nietzsche, Nihilism, and the Philosophy of the Future Ed. By Jeffrey Metzger (Review).Jeffrey Church - 2013 - Journal of Nietzsche Studies 44 (3):495-497.
    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 motivation still (...)
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  27.  13
    Jeffrey Meets Kolmogorov.Alexander Meehan & Snow Zhang - forthcoming - Journal of Philosophical Logic:1-39.
    Jeffrey conditionalization is a rule for updating degrees of belief in light of uncertain evidence. It is usually assumed that the partitions involved in Jeffrey conditionalization are finite and only contain positive-credence elements. But there are interesting examples, involving continuous quantities, in which this is not the case. Q1 Can Jeffrey conditionalization be generalized to accommodate continuous cases? Meanwhile, several authors, such as Kenny Easwaran and Michael Rescorla, have been interested in Kolmogorov’s theory of regular conditional distributions (...)
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  28. A Note on Jeffrey Conditionalization.Hartry Field - 1978 - Philosophy of Science 45 (3):361-367.
    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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  29.  29
    On the Modal Logic of Jeffrey Conditionalization.Zalán Gyenis - 2018 - Logica Universalis 12 (3-4):351-374.
    We continue the investigations initiated in the recent papers where Bayes logics have been introduced to study the general laws of Bayesian belief revision. In Bayesian belief revision a Bayesian agent revises his prior belief by conditionalizing the prior on some evidence using the Bayes rule. In this paper we take the more general Jeffrey formula as a conditioning device and study the corresponding modal logics that we call Jeffrey logics, focusing mainly on the countable case. The containment (...)
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  30.  65
    A Causal Understanding of When and When Not to Jeffrey Conditionalize.Ben Schwan & Reuben Stern - 2017 - Philosophers' Imprint 17.
    There are cases of ineffable learning — i. e., cases where an agent learns something, but becomes certain of nothing that she can express — where it is rational to update by Jeffrey conditionalization. But there are likewise cases of ineffable learning where updating by Jeffrey conditionalization is irrational. In this paper, we first characterize a novel class of cases where it is irrational to update by Jeffrey conditionalization. Then we use the d-separation criterion to develop a (...)
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  31.  27
    Jeffrey Conditionalization: Proceed with Caution.Borut Trpin - forthcoming - Philosophical Studies:1-28.
    It has been argued that if the rigidity condition is satisfied, a rational agent operating with uncertain evidence should update her subjective probabilities by Jeffrey conditionalization or else a series of bets resulting in a sure loss could be made against her. We show, however, that even if the rigidity condition is satisfied, it is not always safe to update probability distributions by JC because there exist such sequences of non-misleading uncertain observations where it may be foreseen that an (...)
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  32. From Bayesianism to the Epistemic View of Mathematics: Review of R. Jeffrey, Subjective Probability: The Real Thing[REVIEW]Jon Williamson - 2006 - Philosophia Mathematica 14 (3):365-369.
    Subjective Probability: The Real Thing is the last book written by the late Richard Jeffrey, a key proponent of the Bayesian interpretation of probability.Bayesians hold that probability is a mental notion: saying that the probability of rain is 0.7 is just saying that you believe it will rain to degree 0.7. Degrees of belief are themselves cashed out in terms of bets—in this case you consider 7:3 to be fair odds for a bet on rain. There are two extreme (...)
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  33.  29
    The Ethical and Academic Implications of the Jeffrey Beall Blog Shutdown.Jaime A. Teixeira da Silva - forthcoming - Science and Engineering Ethics:1-3.
    A very important event took place on January 15, 2017. On that day, the Jeffrey Beall blog was silently, and suddenly, shut down by Beall himself. A profoundly divisive and controversial site, the Beall blog represented an existential threat to those journals and publishers that were listed there. On the other hand, the Beall blog was a ray of hope to critics of bad publishing practices that a culture of public shaming was perhaps the only way to rout out (...)
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  34.  61
    Jeffrey Conditioning and External Bayesianity.Carl Wagner - 2010 - Logic Journal of the IGPL 18 (2):336-345.
    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 first updating their individual priors and then pooling the resulting posteriors or first pooling their priors and then updating the resulting group prior. If the pooling method that they employ is such that they arrive at the (...)
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  35.  43
    Categorical Induction From Uncertain Premises: Jeffrey's Doesn't Completely Rule.Constantinos Hadjichristidis, Steven A. Sloman & David E. Over - 2014 - Thinking and Reasoning 20 (4):405-431.
    Studies of categorical induction typically examine how belief in a premise (e.g., Falcons have an ulnar artery) projects on to a conclusion (e.g., Robins have an ulnar artery). We study induction in cases in which the premise is uncertain (e.g., There is an 80% chance that falcons have an ulnar artery). Jeffrey's rule is a normative model for updating beliefs in the face of uncertain evidence. In three studies we tested the descriptive validity of Jeffrey's rule and a (...)
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  36.  37
    Uncertain Premises and Jeffrey's Rule.David E. Over & Constantinos Hadjichristidis - 2009 - Behavioral and Brain Sciences 32 (1):97-98.
    Oaksford & Chater (O&C) begin in the halfway Bayesian house of assuming that minor premises in conditional inferences are certain. We demonstrate that this assumption is a serious limitation. They additionally suggest that appealing to Jeffrey's rule could make their approach more general. We present evidence that this rule is not limited enough to account for actual probability judgements.
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  37.  13
    Weighted Averaging, Jeffrey Conditioning and Invariance.Denis Bonnay & Mikaël Cozic - 2018 - Theory and Decision 85 (1):21-39.
    Jeffrey conditioning tells an agent how to update her priors so as to grant a given probability to a particular event. Weighted averaging tells an agent how to update her priors on the basis of testimonial evidence, by changing to a weighted arithmetic mean of her priors and another agent’s priors. We show that, in their respective settings, these two seemingly so different updating rules are axiomatized by essentially the same invariance condition. As a by-product, this sheds new light (...)
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  38.  6
    Practical Reasoning, Rule-Following and Belief Revision: An Account in Terms of Jeffrey’s Rule.Cyril Hédoin - forthcoming - Synthese:1-19.
    This paper provides a conceptual exploration of the implication of Jeffrey’s rule of belief revision to account for rule-following behavior in a game-theoretic framework. Jeffrey’s rule reflects the fact that in many cases learning something new does not imply that one has full assurance about the true content of the information. In other words, the same information may be both perceived and interpreted in several different ways. I develop an account of rule-following behavior according to which, in the (...)
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  39.  10
    Nietzsche's Culture of Humanity: Beyond Aristocracy and Democracy in the Early Period by Jeffrey Church.Rachel Cristy - 2019 - Journal of Nietzsche Studies 50 (2):336-342.
    Jeffrey Church's book Nietzsche's Culture of Humanity is a flawed but nonetheless significant contribution to the still fairly scant Anglophone literature on Nietzsche's early works. The book argues for two major intertwined theses and a third, less central one. The first thesis is that Nietzsche distinguishes between two types or layers of culture: national culture, which Nietzsche characterizes in §1 of the first essay of UM as "unity of artistic style in all the expressions of the life of a (...)
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  40.  14
    Reframing the Intercultural Dialogue on Human Rights: A Philosophical Approach by Jeffrey Flynn.Loubna El Amine - 2017 - Philosophy East and West 68 (1):301-303.
    Can we respond to the charge that human rights are a Western product without relinquishing human rights altogether? Can we be sensitive not only to the dominant voices in the non-Western world but also to the "margins of the margins"? Can the academic discussion on human rights be more attuned not only to scholarly arguments but also to "human rights activism and struggles for human rights"? Can it also be attuned to the fact of the new "globalizing modernity"? In Reframing (...)
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  41.  50
    Order Dependence and Jeffrey Conditionalization.Daniel Osherson - manuscript
    A glance at the sky raises my probability of rain to .7. As it happens, the conditional probabilities of each state given rain remain the same, and similarly for their conditional probabilities given no rain. As Jeffrey (1983, Ch. 11) points out, my new distribution P2 is therefore fixed by the law of total probability. For example, P2(RC) = P2(RC | R)P2(R)+P2(RC | ¯.
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  42.  73
    Jeffrey's Rule of Conditioning.Glenn Shafer - 1981 - Philosophy of Science 48 (3):337-362.
    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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  43.  10
    Against Jeffrey Howard on Entrapment.Jonathan Stanhope - 2019 - Journal of Ethics and Social Philosophy 15 (3).
    Jeffrey Howard has recently argued that entrapment and similar phenomena are wrongful - and wrong the induced agent - because they violate a regulative obligation of respect for the first moral power According to Howard, this obligation grounds a duty not to foreseeably increase the likelihood that another agent acts wrongly While I accept the existence of the more fundamental obligation, I try to show that it doesn't support DUTY. Therefore, it doesn't support the wrongfulness of entrapment and similar (...)
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  44.  25
    Commuting Probability Revisions: The Uniformity Rule: In Memoriam Richard Jeffrey, 1926-2002.Carl G. Wagner - 2003 - Erkenntnis 59 (3):349-364.
    A simple rule of probability revision ensures that the final result of a sequence of probability revisions is undisturbed by an alteration in the temporal order of the learning prompting those revisions. This Uniformity Rule dictates that identical learning be reflected in identical ratios of certain new-to-old odds, and is grounded in the old Bayesian idea that such ratios represent what is learned from new experience alone, with prior probabilities factored out. The main theorem of this paper includes as special (...)
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  45. In Memory of Richard Jeffrey: Some Reminiscences and Some Reflections on The Logic of Decision.Alan Hájek - 2006 - Philosophy of Science 73 (5):947-958.
    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.  18
    A Review Of Jeffrey Gray’s Consciousness: Creeping Up On The Hard Problem. [REVIEW]Stephen Biggs - 2005 - PSYCHE: An Interdisciplinary Journal of Research On Consciousness 11.
    Jeffrey Gray’s Consciousness: Creeping up on the Hard Problem will be enjoyed by everyone interested in consciousness. Gray, a neuropsychologist, eloquently summarizes significant experimental results on consciousness and, more importantly, explains both how these results interrelate and how they constrain potential theories of consciousness. He also uses these results to build a novel, fascinating theory of what consciousness does and does not do. Throughout the work Gray’s accessible presentation remains deeply respectful of psychologists, neuroscientists, and philosophers’ approaches to consciousness. (...)
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  47.  55
    Jeffrey Stout on Democracy and its Contemporary Christian Critics.Nicholas Wolterstorff - 2005 - Journal of Religious Ethics 33 (4):633-647.
    Jeffrey Stout addresses two of the main criticisms of liberal democracy by its contemporary neotraditionalist Christian critics: that liberal democracy is destructive of social tradition, and thereby of virtue in the citizenry, and that liberal democracy is inherently secular, committed to expunging religious voices from the public arena. I judge that Stout effectively answers these charges: liberal democracy has its own tradition, it cultivates the virtues relevant to that, and it is not inherently hostile to piety. What Stout does (...)
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  48.  28
    On the Common Saying That It is Better That ten Guilty Persons Escape Than That One Innocent Suffer: Pro and Con: Jeffrey Reiman and Ernest Van den Haag.Jeffrey Reiman - 1990 - Social Philosophy and Policy 7 (2):226-248.
    In Zadig, published in 1748, Voltaire wrote of “the great principle that it is better to run the risk of sparing the guilty than to condemn the innocent.” At about the same time, Blackstone noted approvingly that “the law holds that it is better that ten guilty persons escape, than that one innocent suffer.” In 1824, Thomas Fielding cited the principle as an Italian proverb and a maxim of English law. John Stuart Mill endorsed it in an address to Parliament (...)
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  49.  53
    The Geometry of Opinion: Jeffrey Shifts and Linear Operators.Bas C. Van Fraassen - 1992 - Philosophy of Science 59 (2):163-175.
    Richard Jeffrey and Michael Goldstein have both introduced systematic approaches to the structure of opinion changes. For both approaches there are theorems which indicate great generality and width of scope. The main questions addressed here will be to what extent the basic forms of representation are intertranslatable, and how we can conceive of such programs in general.
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  50.  73
    Jeffrey Masson and Freud's Seduction Theory: A New Fable Based on Old Myths.Allen Esterson - 1998 - History of the Human Sciences 11 (1):1-21.
    Jeffrey Masson's version of the seduction theory episode in Freud's early career, as presented in The Assault on Truth (1984), is very plaus ible as a revised account of the traditional story. However, close examination of the seduction theory papers and of other contemporary documents reveals that Freud's later reports of the episode, the foun dation on which Masson builds his case, are false. Some purported his torical events that Masson uses to buttress his case are also shown to (...)
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