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Donald Gillies [62]Donald A. Gillies [8]
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Profile: Donald Angus Gillies (University College London)
  1. Donald Gillies (forthcoming). A New Branch of Philosophy of Science: The Philosophy of Medicine. [REVIEW] Metascience:1-4.
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  2. Donald Gillies (forthcoming). A tese de Duhem. Critica.
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  3. Donald Gillies (forthcoming). Timothy Childers. Philosophy and Probability. Oxford: Oxford University Press, 2013. ISBN: 978-0-19-966182-4 (Hbk); 978-0-19-966183-1 (Pbk). Pp. Xviii + 194. [REVIEW] Philosophia Mathematica:nku017.
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  4. Brendan Clarke, Donald Gillies, Phyllis Illari, Federica Russo & Jon Williamson (2014). Mechanisms and the Evidence Hierarchy. Topoi 33 (2):339-360.
    Evidence-based medicine (EBM) makes use of explicit procedures for grading evidence for causal claims. Normally, these procedures categorise evidence of correlation produced by statistical trials as better evidence for a causal claim than evidence of mechanisms produced by other methods. We argue, in contrast, that evidence of mechanisms needs to be viewed as complementary to, rather than inferior to, evidence of correlation. In this paper we first set out the case for treating evidence of mechanisms alongside evidence of correlation in (...)
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  5. Donald Gillies (2014). Should Philosophers of Mathematics Make Use of Sociology? Philosophia Mathematica 22 (1):12-34.
    This paper considers whether philosophy of mathematics could benefit by the introduction of some sociology. It begins by considering Lakatos's arguments that philosophy of science should be kept free of any sociology. An attempt is made to criticize these arguments, and then a positive argument is given for introducing a sociological dimension into the philosophy of mathematics. This argument is illustrated by considering Brouwer's account of numbers as mental constructions. The paper concludes with a critical discussion of Azzouni's view that (...)
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  6. Brendan Clarke, Donald Gillies, Phyllis Illari, Frederica Russo & Jon Williamson, The Evidence That Evidence-Based Medicine Omits.
    According to current hierarchies of evidence for EBM, evidence of correlation (e.g., from RCTs) is always more important than evidence of mechanisms when evaluating and establishing causal claims. We argue that evidence of mechanisms needs to be treated alongside evidence of correlation. This is for three reasons. First, correlation is always a fallible indicator of causation, subject in particular to the problem of confounding; evidence of mechanisms can in some cases be more important than evidence of correlation when assessing a (...)
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  7. Donald Gillies (2013). Why Did Bloodletting Decline? (Reviewing K. C. Carter, The Decline of Therapeutic Bloodletting and the Collapse of Traditional Medicine). Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 44 (3):433-434.
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  8. Donald Gillies & Aidan Sudbury (2013). Should Causal Models Always Be Markovian? The Case of Multi-Causal Forks in Medicine. European Journal for Philosophy of Science 3 (3):275-308.
    The development of causal modelling since the 1950s has been accompanied by a number of controversies, the most striking of which concerns the Markov condition. Reichenbach's conjunctive forks did satisfy the Markov condition, while Salmon's interactive forks did not. Subsequently some experts in the field have argued that adequate causal models should always satisfy the Markov condition, while others have claimed that non-Markovian causal models are needed in some cases. This paper argues for the second position by considering the multi-causal (...)
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  9. Anne Pirrie & Donald Gillies (2012). Untimely Meditations on the Disciplines of Education. British Journal of Educational Studies 60 (4):387 - 402.
    The aim of this article is to explore what the concept of interdisciplinarity can bring to our developing understanding of education as a field of enquiry. We shall draw upon some recent writing on the disciplines of education in order to explore the potentially negative consequences of the way in which the disciplines are institutionalised and territorialised. We also assign some prominence to a personal account of an eminent anthropologist's perambulations through a disciplinary landscape in order to put forward an (...)
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  10. Donald Gillies (2011). The Russo-Williamson Thesis and the Question of Whether Smoking Causes Heart Disease. In Phyllis McKay Illari, Federica Russo & Jon Williamson (eds.), Causality in the Sciences. Oxford University Press. 110--125.
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  11. Donald Gillies (2010). Abduction and Bayesianism in Medical Diagnosis. Ludus Vitalis 18 (33):217-220.
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  12. Donald Gillies (2010). An Objective Theory of Probability (Routledge Revivals). Routledge.
    This reissue of D. A. Gillies highly influential work, first published in 1973, is a philosophical theory of probability which seeks to develop von Mises’ views on the subject. In agreement with von Mises, the author regards probability theory as a mathematical science like mechanics or electrodynamics, and probability as an objective, measurable concept like force, mass or charge. On the other hand, Dr Gillies rejects von Mises’ definition of probability in terms of limiting frequency and claims that probability should (...)
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  13. Donald Gillies (2010). Informational Realism and World 3. Knowledge, Technology and Policy 23 (1-2):7-24.
    This paper takes up a suggestion made by Floridi that the digital revolution is bringing about a profound change in our metaphysics. The paper aims to bring some older views from philosophy of mathematics to bear on this problem. The older views are concerned principally with mathematical realism—that is the claim that mathematical entities such as numbers exist. The new context for the discussion is informational realism, where the problem shifts to the question of the reality of information. Mathematical realism (...)
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  14. Donald Gillies (2009). Hasok Chang Inventing Temperature: Measurement and Scientific Progress. British Journal for the Philosophy of Science 60 (1):221-228.
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  15. Donald Gillies (2009). Problem-Solving and the Problem of Induction. In. In Zuzana Parusniková & R. S. Cohen (eds.), Rethinking Popper. Springer. 103--115.
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  16. Atocha Aliseda & Donald Gillies (2007). Logical, Historical and Computational Approaches. In Theo A. F. Kuipers (ed.), General Philosophy of Science. North Holland. 431--513.
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  17. Donald Gillies (2007). K. Codell Carterthe Rise of Causal Concepts of Disease. Case Historiesashgate, 2003. Isbn 0 7546 0678 3. British Journal for the Philosophy of Science 58 (2):365-377.
    Causality in 19th and Early 20th Century Medicine 3 A Lakatosian Approach to the History of Medicine.
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  18. Donald Gillies (2007). Lessons From the History and Philosophy of Science Regarding the Research Assessment Exercise. Royal Institute of Philosophy Supplement 82 (61):37-73.
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  19. Carlo Cellucci & Donald Gillies (eds.) (2005). Mathematical Reasoning and Heuristics. College Publications.
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  20. Donald Gillies (2005). An Action-Related Theory of Causality. British Journal for the Philosophy of Science 56 (4):823-842.
    The paper begins with a discussion of Russell's view that the notion of cause is unnecessary for science and can therefore be eliminated. It is argued that this is true for theoretical physics but untrue for medicine, where the notion of cause plays a central role. Medical theories are closely connected with practical action (attempts to cure and prevent disease), whereas theoretical physics is more remote from applications. This suggests the view that causal laws are appropriate in a context where (...)
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  21. Donald Gillies (2005). Hempelian and Kuhnian Approaches in the Philosophy of Medicine: The Semmelweis Case. Studies in History and Philosophy of Biological and Biomedical Sciences 36 (1):159-181.
  22. Donald Gillies (2004). Handling Uncertainty in Artificial Intelligence, and the Bayesian Controversy. In Friedrich Stadler (ed.), Induction and Deduction in the Sciences. Springer. 199.
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  23. Donald Gillies (2003). Critical Studies/Book Reviews. Philosophia Mathematica 11 (2):246-253.
  24. Donald Gillies (2003). La Natura E Il Futuro Della Filosofia. British Journal for the Philosophy of Science 54 (3):501-507.
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  25. Donald Gillies (2002). Causality, Propensity, and Bayesian Networks. Synthese 132 (1-2):63 - 88.
    This paper investigates the relations between causality and propensity. Aparticular version of the propensity theory of probability is introduced, and it is argued that propensities in this sense are not causes. Some conclusions regarding propensities can, however, be inferred from causal statements, but these hold only under restrictive conditions which prevent cause being defined in terms of propensity. The notion of a Bayesian propensity network is introduced, and the relations between such networks and causal networks is investigated. It is argued (...)
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  26. Donald Gillies (2002). Lakatos' Criticisms of Popper. In G. Kampis, L.: Kvasz & M. Stöltzner (eds.), Appraising Lakatos: Mathematics, Methodology and the Man. Kluwer. 1--13.
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  27. Donald Gillies (2001). Bayesianism and the Fixity of the Theoretical Framework. In. In David Corfield & Jon Williamson (eds.), Foundations of Bayesianism. Kluwer Academic Publishers. 363--379.
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  28. Donald Gillies (2001). Causality: Models, Reasoning, and Inference Judea Pearl. British Journal for the Philosophy of Science 52 (3):613-622.
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  29. Donald Gillies (2001). Critical Notices-Judea Pearl Causality: Models, Reasoning, and Inference. British Journal for the Philosophy of Science 52 (3):613-622.
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  30. Donald A. Gillies (2001). Popper and Computer Induction. Bioessays 23 (9):859-860.
  31. Donald Gillies & Yuxin Zheng (2001). Dynamic Interactions with the Philosophy of Mathematics. Theoria 16 (3):437-459.
    Dynamic interaction is said to occur when two significanrly different fields A and B come into relation, and their interaction is dynamic in the sense that at first the flow of ideas is principally from A to B, but later ideas from B come to influence A. Two examples are given of dynamic interactions with the philosophy of mathematics. The first is with philosophy of scicnce, and thc sccond with computer science. Theanalysis cnables Lakatos to be charactcrised as thc first (...)
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  32. Donald Gillies (2000). An Empiricist Philosophy of Mathematics and its Implications for the History of Mathematics. In. In Emily Grosholz & Herbert Breger (eds.), The Growth of Mathematical Knowledge. Kluwer Academic Publishers. 41--57.
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  33. Donald Gillies (2000). Philosophical Theories of Probability. Routledge.
    This book presents a comprehensive and systematic account of the various philosophical theories of probability and explains how they are related. It covers the classical, logical, subjective, frequency, and propensity views of probability. Donald Gillies even provides a new theory of probability -the intersubjective-a development of the subjective theory. He argues for a pluralist view, where there can be more than one valid interpretation of probabiltiy, each appropriate in a different context. The relation of the various interpretations to the Bayesian (...)
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  34. Donald Gillies (2000). Varieties of Propensity. British Journal for the Philosophy of Science 51 (4):807-835.
    The propensity interpretation of probability was introduced by Popper ([1957]), but has subsequently been developed in different ways by quite a number of philosophers of science. This paper does not attempt a complete survey, but discusses a number of different versions of the theory, thereby giving some idea of the varieties of propensity. Propensity theories are classified into (i) long-run and (ii) single-case. The paper argues for a long-run version of the propensity theory, but this is contrasted with two single-case (...)
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  35. Donald Gillies (1999). Critical Studies / Book Reviews. Philosophia Mathematica 7 (2):246-253.
  36. Donald Gillies (1999). German Philosophy of Mathematics From Gauss to Hilbert. Royal Institute of Philosophy Supplement 44:167-192.
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  37. Donald Gillies (1999). Review of Cellucci 1998. [REVIEW] Philosophia Mathematica 7:213-222.
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  38. Donald Gillies (1998). Debates on Bayesianism and the Theory of Bayesian Networks. Theoria 64 (1):1-22.
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  39. Donald Gillies (1998). The Duhem Thesis and the Quine Thesis. In Martin Curd & Jan Cover (eds.), Philosophy of Science: The Central Issues. Norton. 302--319.
     
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  40. Donald Gillies (1997). Probability Foundations of Economic Theory, Charles R. McCann Jr Routledge, 1994, 171 + Xvi Pages. Economics and Philosophy 13 (01):132-.
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  41. Donald Gillies (1996). Artificial Intelligence and Scientific Method. OUP Oxford.
    Artificial Intelligence and Scientific Method examines the remarkable advances made in the field of AI over the past twenty years, discussing their profound implications for philosophy. -/- Taking a clear, non-technical approach, Donald Gillies focuses on two key topics within AI: machine learning in the Turing tradition and the development of logic programming and its connection with non-monotonic logic. Demonstrating how current views on scientific method are challenged by this recent research, he goes on to suggest a new framework for (...)
     
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  42. Donald Gillies (1996). Poincaré: Conservative Methodologist but Revolutionary Scientist. Philosophia Scientiae 1 (4):59-67.
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  43. Donald Gillies (1996). Review. [REVIEW] British Journal for the Philosophy of Science 47 (3):263-278.
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  44. Matteo Motterlini & Donald Gillies (1996). On the Threshold of Science: For and Against Method. British Journal for the Philosophy of Science 47 (3):476-478.
     
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  45. Donald Gillies (1995). Popper's Contribution to the Philosophy of Probability. Royal Institute of Philosophy Supplement 39:103-120.
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  46. Peter Milne, Donald Gillies, Peter Kosso & Alan Musgrave (1995). Philosophy of Science in the Twentieth Century: Four Central Themes.Reading the Book of Nature: An Introduction to the Philosophy of Science.Common Sense, Science and Scepticism: A Historical Introduction to the Theory of Knowledge. [REVIEW] Philosophical Quarterly 45 (180):379.
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  47. Donald Gillies (1994). Book Reviews. [REVIEW] Mind 103 (411):376-379.
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  48. Donald Gillies (1993). Philosophy of Science in the Twentieth Century: Four Central Themes. Blackwell.
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  49. Donald Gillies (ed.) (1992). Revolutions in Mathematics. Oxford University Press.
    Social revolutions--that is critical periods of decisive, qualitative change--are a commonly acknowledged historical fact. But can the idea of revolutionary upheaval be extended to the world of ideas and theoretical debate? The publication of Kuhn's The Structure of Scientific Revolutions in 1962 led to an exciting discussion of revolutions in the natural sciences. A fascinating, but little known, off-shoot of this was a debate which began in the United States in the mid-1970's as to whether the concept of revolution could (...)
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  50. Donald Gillies (1992). The Fregean Revolution in Logic. In , Revolutions in Mathematics. Oxford University Press. 265--305.
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