Results for 'Alan Shirras'

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  1.  10
    Fly story. The embryonic development of drosophila melanogaster. By José A. campos‐ortega and Volker hartenstein. Springer‐verlag, Berlin. 1985. Pp. 227. Dm 248. [REVIEW]Alan Shirras - 1987 - Bioessays 7 (6):282-282.
  2. An alternative theory of nonexistent objects.Alan McMichael & Ed Zalta - 1980 - Journal of Philosophical Logic 9 (3):297-313.
    The authors develop an axiomatic theory of nonexistent objects and and give a formal semantics for the language of the theory.
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  3.  60
    Systems of logic based on ordinals..Alan Turing - 1939 - London,: Printed by C.F. Hodgson & son.
  4.  25
    Pragmatism, realism and the economist/economy divide.Alan Shipman - 2003 - Foundations of Science 8 (1):23-50.
    A centipede can walk until it thinks about howit does so. Thereafter it stumbles, over thesheer impossibility of the information andcoordination required. Life in the economy islittle different. Those engaged in productionand exchange discover, pragmatically, ways tomake them work. Those observing the processsee, realistically, the immense improbabilitythat it should do so. That most economies workin practice, but must pass such toughteleological tests to succeed in theory,highlights a difference between players' andspectators' outlook which may help to explainwhy the game has repeatedly (...)
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  5.  93
    Quantitative Parsimony and Explanatory Power.Baker Alan - 2003 - British Journal for the Philosophy of Science 54 (2):245-259.
    The desire to minimize the number of individual new entities postulated is often referred to as quantitative parsimony. Its influence on the default hypotheses formulated by scientists seems undeniable. I argue that there is a wide class of cases for which the preference for quantitatively parsimonious hypotheses is demonstrably rational. The justification, in a nutshell, is that such hypotheses have greater explanatory power than less parsimonious alternatives. My analysis is restricted to a class of cases I shall refer to as (...)
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  6. What conditional probability could not be.Alan Hájek - 2003 - Synthese 137 (3):273--323.
    Kolmogorov''s axiomatization of probability includes the familiarratio formula for conditional probability: 0).$$ " align="middle" border="0">.
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  7.  46
    Domain specificity in conceptual development: Neuropsychological evidence from autism.Alan M. Leslie & Laila Thaiss - 1992 - Cognition 43 (3):225-251.
  8. Most Counterfactuals Are False.Alan Hajek - 2014
  9. Interpretations of probability.Alan Hájek - 2007 - Stanford Encyclopedia of Philosophy.
  10. The reference class problem is your problem too.Alan Hájek - 2007 - Synthese 156 (3):563--585.
    The reference class problem arises when we want to assign a probability to a proposition (or sentence, or event) X, which may be classified in various ways, yet its probability can change depending on how it is classified. The problem is usually regarded as one specifically for the frequentist interpretation of probability and is often considered fatal to it. I argue that versions of the classical, logical, propensity and subjectivist interpretations also fall prey to their own variants of the reference (...)
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  11.  54
    Dialectic and difference: dialectical critical realism and the grounds of justice.Alan William Norrie - 2010 - New York: Routledge.
    Introduction: Natural necessity, being, and becoming -- Accentuate the negative -- Diffracting dialectic -- Opening totality -- Constellating ethics -- Metacritique I : philosophy's primordial failing -- Metacritique II : dialectic and difference -- Conclusion: Natural necessity and the grounds of justice : natural necessity as material meshwork.
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  12. Bayesian Epistemology.Alan Hájek & Stephan Hartmann - 1992 - In Jonathan Dancy & Ernest Sosa (eds.), A Companion to Epistemology. Malden, MA: Wiley-Blackwell.
    Bayesianism is our leading theory of uncertainty. Epistemology is defined as the theory of knowledge. So “Bayesian Epistemology” may sound like an oxymoron. Bayesianism, after all, studies the properties and dynamics of degrees of belief, understood to be probabilities. Traditional epistemology, on the other hand, places the singularly non-probabilistic notion of knowledge at centre stage, and to the extent that it traffics in belief, that notion does not come in degrees. So how can there be a Bayesian epistemology?
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  13.  6
    Weber, Irrationality, and Social Order.Alan Sica - 1988 - University of California Press.
    Despite immediate appearances, this book is not primarily a hermeneutical exercise in which the superiority of one interpretation of canonical texts is championed against others. Its origin lies elsewhere, near the overlap of history, psychoanalysis, aesthetics, and social theory of the usual kind. Weber, Pareto, Freud, W. I. Thomas, Max Scheler, Karl Mannheim, and many others of similar stature long ago wondered and wrote much about the interplay between societal rationalization and individual rationality, between collective furor and private psychopathology—in short, (...)
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  14. Arguments For—Or Against—Probabilism?Alan Hájek - 2009 - In Franz Huber & Christoph Schmidt-Petri (eds.), Degrees of belief. London: Springer. pp. 229--251.
    Four important arguments for probabilism—the Dutch Book, representation theorem, calibration, and gradational accuracy arguments—have a strikingly similar structure. Each begins with a mathematical theorem, a conditional with an existentially quantified consequent, of the general form: if your credences are not probabilities, then there is a way in which your rationality is impugned. Each argument concludes that rationality requires your credences to be probabilities. I contend that each argument is invalid as formulated. In each case there is a mirror-image theorem and (...)
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  15.  60
    The Rhetoric of Science.Alan G. Gross - 1996
    Alan Gross applies the principles of rhetoric to the interpretation of classical and contemporary scientific texts to show how they persuade both author and audience. This invigorating consideration of the ways in which scientists--from Copernicus to Darwin to Newton to James Watson--establish authority and convince one another and us of the truth they describe may very well lead to a remodeling of our understanding of science and its place in society.
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  16. A Tale of Two Epistemologies?Alan Hájek & Hanti Lin - 2017 - Res Philosophica 94 (2):207-232.
    So-called “traditional epistemology” and “Bayesian epistemology” share a word, but it may often seem that the enterprises hardly share a subject matter. They differ in their central concepts. They differ in their main concerns. They differ in their main theoretical moves. And they often differ in their methodology. However, in the last decade or so, there have been a number of attempts to build bridges between the two epistemologies. Indeed, many would say that there is just one branch of philosophy (...)
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  17. Attention and integration.Alan Allport - 2011 - In Christopher Mole, Declan Smithies & Wayne Wu (eds.), Attention: Philosophical and Psychological Essays. Oxford University Press. pp. 24.
  18. Fifteen Arguments Against Hypothetical Frequentism.Alan Hájek - 2009 - Erkenntnis 70 (2):211-235.
    This is the sequel to my “Fifteen Arguments Against Finite Frequentism” ( Erkenntnis 1997), the second half of a long paper that attacks the two main forms of frequentism about probability. Hypothetical frequentism asserts: The probability of an attribute A in a reference class B is p iff the limit of the relative frequency of A ’s among the B ’s would be p if there were an infinite sequence of B ’s. I offer fifteen arguments against this analysis. I (...)
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  19.  12
    Metaphysical Analysis.Alan R. White - 1970 - Philosophical Quarterly 20 (80):282-283.
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  20.  5
    Learning the Craft: Creative Writing and Language Development.Alan Young - 1984 - The Journal of Aesthetic Education 18 (1):51.
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  21.  28
    Data driven Markov Chain Monte Carlo algorithm.Alan Yuille & Daniel Kersten - 2006 - Trends in Cognitive Sciences 10 (7):301-308.
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  22. Winner-take-all mechanisms.Alan L. Yuille & Davi Geiger - 1995 - In Michael A. Arbib (ed.), Handbook of Brain Theory and Neural Networks. MIT Press. pp. 1--1056.
  23.  39
    Intentionalism and physical reductionism in computational psychology.Alan Zaitchik - 1981 - Philosophy and Phenomenological Research 42 (September):23-41.
  24.  52
    The Passover Haggadah as Argument, Or Why Is This Text Different from Other Texts?Alan Zemel - 1998 - Argumentation 12 (1):57-77.
    In this paper, I demonstrate how the Passover Haggadah exploits certain features of conversational interaction in both the production formats of its texts and in its performance formats (or ways it indicates it should be performed) during the Passover Seder. Some conversational methods used include the use of dispreferred second pair parts which creates an impression that at least part of the Haggadah's text resembles a kind of conversational argument. Furthermore, as a recitable text, the Haggadah exploits the use of (...)
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  25. Coercion.Alan Wertheimer - 1989 - Ethics 99 (3):642-644.
     
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  26.  66
    Degrees of commensurability and the repugnant conclusion.Alan Hájek & Wlodek Rabinowicz - 2021 - Noûs 56 (4):897-919.
    Two objects of valuation are said to be incommensurable if neither is better than the other, nor are they equally good. This negative, coarse-grained characterization fails to capture the nuanced structure of incommensurability. We argue that our evaluative resources are far richer than orthodoxy recognizes. We model value comparisons with the corresponding class of permissible preference orderings. Then, making use of our model, we introduce a potentially infinite set of degrees of approximation to better, worse, and equally good, which we (...)
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  27.  82
    Arguments for–or against–Probabilism?Alan Hájek - 2008 - British Journal for the Philosophy of Science 59 (4):793-819.
    Four important arguments for probabilism—the Dutch Book, representation theorem, calibration, and gradational accuracy arguments—have a strikingly similar structure. Each begins with a mathematical theorem, a conditional with an existentially quantified consequent, of the general form: if your credences are not probabilities, then there is a way in which your rationality is impugned.Each argument concludes that rationality requires your credences to be probabilities.I contend that each argument is invalid as formulated. In each case there is a mirror-image theorem and a corresponding (...)
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  28.  38
    Classical harmony.Alan Weir - 1986 - Notre Dame Journal of Formal Logic 27 (4):459-482.
  29. Rationality and indeterminate probabilities.Alan Hájek & Michael Smithson - 2012 - Synthese 187 (1):33-48.
    We argue that indeterminate probabilities are not only rationally permissible for a Bayesian agent, but they may even be rationally required . Our first argument begins by assuming a version of interpretivism: your mental state is the set of probability and utility functions that rationalize your behavioral dispositions as well as possible. This set may consist of multiple probability functions. Then according to interpretivism, this makes it the case that your credal state is indeterminate. Our second argument begins with our (...)
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  30. The hypothesis of the conditional construal of conditional probability.Alan Hájek & N. Hall - 1994 - In Ellery Eells & Brian Skyrms (eds.), Probability and Conditionals: Belief Revision and Rational Decision. New York: Cambridge University Press. pp. 75.
  31.  31
    The Moral Significance of National Boundaries.Alan H. Goldman - 1982 - Midwest Studies in Philosophy 7 (1):437-453.
  32. “Mises redux” — Redux: Fifteen arguments against finite frequentism.Alan Hájek - 1996 - Erkenntnis 45 (2-3):209--27.
    According to finite frequentism, the probability of an attribute A in a finite reference class B is the relative frequency of actual occurrences of A within B. I present fifteen arguments against this position.
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  33. Pornography: Marxism, Feminism, and the Future of Sexuality.Alan Soble - 1989 - Studies in Soviet Thought 37 (1):37-38.
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  34. Probabilities of conditionals — revisited.Alan Hájek - 1989 - Journal of Philosophical Logic 18 (4):423 - 428.
  35.  59
    Belief polarization is not always irrational.Alan Jern, Kai-min K. Chang & Charles Kemp - 2014 - Psychological Review 121 (2):206-224.
  36.  43
    The Concept of Expression.Alan Tormey - 1974 - Philosophical Review 83 (2):247-252.
  37. The Fall of “Adams' Thesis”?Alan Hájek - 2012 - Journal of Logic, Language and Information 21 (2):145-161.
    The so-called ‘Adams’ Thesis’ is often understood as the claim that the assertibility of an indicative conditional equals the corresponding conditional probability—schematically: $${({\rm AT})}\qquad\qquad\quad As(A\rightarrow B)=P({B|A}),{\rm provided}\quad P(A)\neq 0.$$ The Thesis is taken by many to be a touchstone of any theorizing about indicative conditionals. Yet it is unclear exactly what the Thesis is . I suggest some precise statements of it. I then rebut a number of arguments that have been given in its favor. Finally, I offer a new (...)
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  38. Unexpected Expectations.Alan Hájek - 2014 - Mind 123 (490):533-567.
    A decade ago, Harris Nover and I introduced the Pasadena game, which we argued gives rise to a new paradox in decision theory even more troubling than the St Petersburg paradox. Gwiazda's and Smith's articles in this volume both offer revisionist solutions. I critically engage with both articles. They invite reflections on a number of deep issues in the foundations of decision theory, which I hope to bring out. These issues include: some ways in which orthodox decision theory might be (...)
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  39.  32
    Sequential theories and infinite distributivity in the lattice of chapters.Alan S. Stern - 1989 - Journal of Symbolic Logic 54 (1):190-206.
    We introduce a notion of complexity for interpretations, which is used to prove some new results about interpretations of sequential theories. In particular, we give a new, elementary proof of Pudlák's theorem that sequential theories are connected. We also demonstrate a counterexample to the infinitary distributive law $a \vee \bigwedge_{i \in I} b_i = \bigwedge_{i \in I} (a \vee b_i)$ in the lattice of chapters, in which the chapters a and b i are compact. (Counterexamples in which a is not (...)
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  40.  64
    Value and context: the nature of moral and political knowledge.Alan Thomas - 2006 - New York: Oxford University Press.
    In Value and Context Alan Thomas articulates and defends the view that human beings do possess moral and political knowledge but it is historically and culturally contextual knowledge in ways that, say, mathematical or chemical knowledge is not. In his exposition of "cognitive contextualism" in ethics and politics he makes wide-ranging use of contemporary work in epistemology, moral philosophy, and political theory.
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  41. Pascal's Wager.Alan Hájek - 2008 - Stanford Encyclopedia of Philosophy.
    “Pascal's Wager” is the name given to an argument due to Blaise Pascal for believing, or for at least taking steps to believe, in God. The name is somewhat misleading, for in a single paragraph of his Pensées, Pascal apparently presents at least three such arguments, each of which might be called a ‘wager’ — it is only the final of these that is traditionally referred to as “Pascal's Wager”. We find in it the extraordinary confluence of several important strands (...)
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  42.  24
    Prolegomena to the Study of Love.Alan Soble - 2023 - Philosophies 8 (3):44.
    Consider this propositional function which includes the dyadic predicate “loves”: “X does not love Y unless Y loves X” (or “if Y does not love X”). This function may be treated in four ways. (1) If universally quantified, it states a (purported) conceptual truth about “love” or the nature or essence of love. Love is necessarily reciprocal. (2) If universally quantified, it may alternatively be a nomological generalization stating an empirical or factual truth about human nature, i.e., about a pattern (...)
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  43. Christology: A Guide for the Perplexed.Alan Spence - 2008
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  44.  99
    Typology Reconfigured: From the Metaphysics of Essentialism to the Epistemology of Representation.Alan C. Love - 2008 - Acta Biotheoretica 57 (1-2):51-75.
    The goal of this paper is to encourage a reconfiguration of the discussion about typology in biology away from the metaphysics of essentialism and toward the epistemology of classifying natural phenomena for the purposes of empirical inquiry. First, I briefly review arguments concerning ‘typological thinking’, essentialism, species, and natural kinds, highlighting their predominantly metaphysical nature. Second, I use a distinction between the aims, strategies, and tactics of science to suggest how a shift from metaphysics to epistemology might be accomplished. Typological (...)
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  45.  17
    In defence of a simple solution.Alan Reeves - 1973 - Australasian Journal of Philosophy 51 (1):17-38.
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  46.  9
    Aristocratic Liberalism: The Social and Political Thought of Jacob Burckhardt, John Stuart Mill, and Alexis De Tocqueville.Alan Kahan - 2017 - Routledge.
    "Liberalism" is widely used to describe a variety of social and political ideas, but has been an especially difficult concept for historians and political scientists to define. Burckhardt, Mill, and Tocqueville define one type of liberal thought. They share an aristocratic liberalism marked by distaste for the masses and the middle class, opposition to the commercial spirit, fear and contempt of mediocrity, and suspicion of the centralized state. Their fears are combined with an elevated ideal of human personality, an ideal (...)
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  47. 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 that (...)
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  48. Confirmation.Alan Hájek & James M. Joyce - 2005 - In Martin Curd & Stathis Psillos (eds.), The Routledge Companion to Philosophy of Science. New York: Routledge.
    Confirmation theory is intended to codify the evidential bearing of observations on hypotheses, characterizing relations of inductive “support” and “counter­support” in full generality. The central task is to understand what it means to say that datum E confirms or supports a hypothesis H when E does not logically entail H.
     
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  49. Two questions about surrogacy and exploitation.Alan Wertheimer - 1992 - Philosophy and Public Affairs 21 (3):211-239.
  50.  27
    Integrating Ethics and Strategy: A Pragmatic Approach.Alan E. Singer - 2010 - Journal of Business Ethics 92 (4):479-491.
    An organizing framework is set out for the diverse literature on business ethics in relation to strategic management. It consists of sets of bi-polar components, spanning themes and topical themes, with a derived typology of contributions. Then, in the spirit of classical pragmatism, the organizing framework is re-cast as an integrative conceptual model of the strategy–ethics relationship. The approach recognizes that both pragmatism and dialectics can underpin progress towards integration, encompassing both normative and empirical aspects.
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