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  1.  74
    Many Meanings of ‘Heuristic’.Sheldon J. Chow - 2015 - British Journal for the Philosophy of Science 66 (4):977-1016.
    A survey of contemporary philosophical and scientific literatures reveals that different authors employ the term ‘heuristic’ in ways that deviate from, and are sometimes inconsistent with, one another. Given its widespread use in philosophy and cognitive science generally, it is striking that there appears to be little concern for a clear account of what phenomena heuristics pick out or refer to. In response, I consider several accounts of ‘heuristic’, and I draw a number of distinctions between different sorts of heuristics (...)
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  2. What’s the Problem with the Frame Problem?Sheldon J. Chow - 2013 - Review of Philosophy and Psychology 4 (2):309-331.
    The frame problem was originally a problem for Artificial Intelligence, but philosophers have interpreted it as an epistemological problem for human cognition. As a result of this reinterpretation, however, specifying the frame problem has become a difficult task. To get a better idea of what the frame problem is, how it gives rise to more general problems of relevance, and how deep these problems run, I expound six guises of the frame problem. I then assess some proposed heuristic solutions to (...)
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  3.  13
    How Reason Confronts Experience: On Naturalist Accounts of Reason.Sheldon J. Chow - 2017 - Mind and Society 16 (1-2):51-80.
    Cliff Hooker’s effort at developing a naturalistic philosophy for scientific and quotidian reason is formidable. With Barry Hoffmaster, Hooker has recently expanded his naturalism to encompass moral reason and moral epistemology by considering a real life example of moral decision-making. Hoffmaster and Hooker’s work thus presents a unique opportunity to examine a thoroughgoing naturalism applied to a concrete, complex case. This paper offers a critical assessment of the Hoffmaster and Hooker piece through the lens of an externalist approach to naturalism (...)
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  4.  83
    Bayesian Chance.William Harper, Sheldon J. Chow & Gemma Murray - 2012 - Synthese 186 (2):447-474.
    This paper explores how the Bayesian program benefits from allowing for objective chance as well as subjective degree of belief. It applies David Lewis’s Principal Principle and David Christensen’s principle of informed preference to defend Howard Raiffa’s appeal to preferences between reference lotteries and scaling lotteries to represent degrees of belief. It goes on to outline the role of objective lotteries in an application of rationality axioms equivalent to the existence of a utility assignment to represent preferences in Savage’s famous (...)
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