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  1. Making things happen: a theory of causal explanation.James F. Woodward - 2003 - New York: Oxford University Press.
    Woodward's long awaited book is an attempt to construct a comprehensive account of causation explanation that applies to a wide variety of causal and explanatory claims in different areas of science and everyday life. The book engages some of the relevant literature from other disciplines, as Woodward weaves together examples, counterexamples, criticisms, defenses, objections, and replies into a convincing defense of the core of his theory, which is that we can analyze causation by appeal to the notion of manipulation.
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  • Conceptual Revolutions.Paul Thagard - 1992 - Princeton: Princeton University Press.
    In this path-breaking work, Paul Thagard draws on history and philosophy of science, cognitive psychology, and the field of artificial intelligence to develop a ...
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  • (1 other version)Anti-Luck Virtue Epistemology.Duncan Pritchard - 2012 - Journal of Philosophy 109 (3):247-279.
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  • The inference to the best explanation.Gilbert H. Harman - 1965 - Philosophical Review 74 (1):88-95.
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  • The best explanation: Criteria for theory choice.Paul R. Thagard - 1978 - Journal of Philosophy 75 (2):76-92.
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  • Inaugurating Understanding or Repackaging Explanation?Kareem Khalifa - 2012 - Philosophy of Science 79 (1):15-37.
    Recently, several authors have argued that scientific understanding should be a new topic of philosophical research. In this article, I argue that the three most developed accounts of understanding--Grimm's, de Regt's, and de Regt and Dieks's--can be replaced by earlier accounts of scientific explanation without loss. Indeed, in some cases, such replacements have clear benefits.
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  • Explanation and epistemology.William G. Lycan - 2002 - In Paul K. Moser (ed.), The Oxford Handbook of Epistemology. New York: Oup Usa. pp. 413.
    Second, there is a form of ampliative inference that has come to be called ‘inference to the best explanation,’ or more briefly ‘explanatory inference.’ Roughly: From the fact that a certain hypothesis would explain the data at hand better than any other available hypothesis, we infer with some degree of confidence that that leading hypothesis is correct. There is no question but that this inference is often performed. Arguably, every human being performs it many times in a day, perhaps without (...)
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  • EMU and inference: what the explanatory model of scientific understanding ignores.Mark Newman - 2014 - European Journal for Philosophy of Science 4 (1):55-74.
    The Explanatory Model of Scientific Understanding is a deflationary thesis recently advocated by Kareem Khalifa. EMU is committed to two key ideas: all understanding-relevant knowledge is propositional in nature; and the abilities we use to generate understanding are merely our usual logical reasoning skills. In this paper I provide an argument against both ideas, suggesting that scientific understanding requires a significant amount of non-propositional knowledge not captured by logical relations. I use the Inferential Model of Scientific Understanding to reveal how (...)
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