David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Synthese 167 (1):125 - 143 (2009)
Inference to the Best Explanation (IBE) and Bayesianism are our two most prominent theories of scientific inference. Are they compatible? Van Fraassen famously argued that they are not, concluding that IBE must be wrong since Bayesianism is right. Writers since then, from both the Bayesian and explanationist camps, have usually considered van Fraassen's argument to be misguided, and have plumped for the view that Bayesianism and IBE are actually compatible. I argue that van Fraassen's argument is actually not so misguided, and that it causes more trouble for compatibilists than is typically thought. Bayesianism in its dominant, subjectivist form, can only be made compatible with IBE if IBE is made subservient to conditionalization in a way that robs IBE of much of its substance and interest. If Bayesianism and IBE are to be fit together, I argue, a strongly objective Bayesianism is the preferred option. I go on to sketch this objectivist, IBE-based Bayesianism, and offer some preliminary suggestions for its development
|Keywords||Inference to the best explanation Bayesianism Abduction Induction|
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Citations of this work BETA
Ruth Weintraub (2013). Induction and Inference to the Best Explanation. Philosophical Studies 166 (1):203-216.
Anya Plutynski (2011). Four Problems of Abduction: A Brief History. Hopos: The Journal of the International Society for the History of Philosophy of Science 1 (2):227-248.
David H. Glass (2012). Inference to the Best Explanation: Does It Track Truth? Synthese 185 (3):411-427.
Niki Pfeifer & Igor Douven (2013). Formal Epistemology and the New Paradigm Psychology of Reasoning. Review of Philosophy and Psychology (2):1-23.
Igor Douven (2012). The Lottery Paradox and the Pragmatics of Belief. Dialectica 66 (3):351-373.
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