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William Whewell's Theory of Scientific Method

University of Pittsburgh Press (1968)

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  1. Inference to the Best Explanation - An Overview.Frank Cabrera - 2023 - In Lorenzo Magnani (ed.), Handbook of Abductive Cognition. Springer. pp. 1-34.
    In this article, I will provide a critical overview of the form of non-deductive reasoning commonly known as “Inference to the Best Explanation” (IBE). Roughly speaking, according to IBE, we ought to infer the hypothesis that provides the best explanation of our evidence. In section 2, I survey some contemporary formulations of IBE and highlight some of its putative applications. In section 3, I distinguish IBE from C.S. Peirce’s notion of abduction. After underlining some of the essential elements of IBE, (...)
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  • What Elements of Successful Scientific Theories Are the Correct Targets for “Selective” Scientific Realism?Dean Peters - 2014 - Philosophy of Science 81 (3):377-397.
    Selective scientific realists disagree on which theoretical posits should be regarded as essential to the empirical success of a scientific theory. A satisfactory account of essentialness will show that the (approximate) truth of the selected posits adequately explains the success of the theory. Therefore, (a) the essential elements must be discernible prospectively; (b) there cannot be a priori criteria regarding which type of posit is essential; and (c) the overall success of a theory, or ‘cluster’ of propositions, not only individual (...)
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  • Coherence, Truth, and the Development of Scientific Knowledge.Paul Thagard - 2007 - Philosophy of Science 74 (1):28-47.
    What is the relation between coherence and truth? This paper rejects numerous answers to this question, including the following: truth is coherence; coherence is irrelevant to truth; coherence always leads to truth; coherence leads to probability, which leads to truth. I will argue that coherence of the right kind leads to at least approximate truth. The right kind is explanatory coherence, where explanation consists in describing mechanisms. We can judge that a scientific theory is progressively approximating the truth if it (...)
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  • How to be a scientific realist (if at all): a study of partial realism.Dean Peters - 2012 - Dissertation, London School of Economics
    "Partial realism" is a common position in the contemporary philosophy of science literature. It states that the "essential" elements of empirically successful scientific theories accurately represent corresponding features the world. This thesis makes several novel contributions related to this position. Firstly, it offers a new definition of the concept of “empirical success”, representing a principled merger between the use-novelty and unification accounts. Secondly, it provides a comparative critical analysis of various accounts of which elements are "essential" to the success of (...)
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  • Can there be a Bayesian explanationism? On the prospects of a productive partnership.Frank Cabrera - 2017 - Synthese 194 (4):1245–1272.
    In this paper, I consider the relationship between Inference to the Best Explanation and Bayesianism, both of which are well-known accounts of the nature of scientific inference. In Sect. 2, I give a brief overview of Bayesianism and IBE. In Sect. 3, I argue that IBE in its most prominently defended forms is difficult to reconcile with Bayesianism because not all of the items that feature on popular lists of “explanatory virtues”—by means of which IBE ranks competing explanations—have confirmational import. (...)
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  • Unification, realism and inference.Margaret Morrison - 1990 - British Journal for the Philosophy of Science 41 (3):305-332.
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  • Gradations of Guessing: Preliminary Sketches and Suggestions.Mark Tschaepe - 2013 - Contemporary Pragmatism 10 (2):135-154.
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  • Coherence and analogy articles.Paul Thagard - manuscript
    Barnes, A. and P. Thagard Empathy and analogy. Dialogue: Canadian Philosophical Review, 36: 705-720. HTML Croft, D., & Thagard, P.. Dynamic imagery: A computational model of motion and visual analogy. In L. Magnani and N. Nersessian, Model-based reasoning: Science, technology, values. New York: Kluwer/Plenum, 259-274. PDF only. HTML description of program and code for DIVA.
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