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  1.  25
    Distinctively mathematical explanation and the problem of directionality: A quasi-erotetic solution.Travis L. Holmes - 2021 - Studies in History and Philosophy of Science Part A 87 (C):13-21.
    The increasing preponderance of opinion that some natural phenomena can be explained mathematically has inspired a search for a viable account of distinctively mathematical explanation. Among the desiderata for an adequate account is that it should solve the problem of directionality and the reversals of distinctively mathematical explanations should not count as members among the explanatory fold but any solution must also avoid the exclusion of genuine explanations. In what follows, I introduce and defend what I refer to as a (...)
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    Entrepreneurial Beliefs and Agency under Knightian Uncertainty.Randall E. Westgren & Travis L. Holmes - 2021 - Philosophy of Management 21 (2):199-217.
    At the centenary of Frank H. Knight’s Risk, Uncertainty, and Profit, we explore the continuing relevance of Knightian uncertainty to the theory and practice of entrepreneurship. There are three challenges facing such assessment. First, RUP is complex and difficult to interpret. The key but neglected element of RUP is that Knight’s account is not solely about risk and uncertainty as states of nature, but about how an agent’s beliefs about uncertain outcomes and confidence in those beliefs guide their choices. Second, (...)
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    Unifying statistically autonomous and mathematical explanations.Travis L. Holmes - 2021 - Biology and Philosophy 36 (3):1-22.
    A subarea of the debate over the nature of evolutionary theory addresses what the nature of the explanations yielded by evolutionary theory are. The statisticalist line is that the general principles of evolutionary theory are not only amenable to a mathematical interpretation but that they need not invoke causes to furnish explanations. Causalists object that construction of these general principles involves crucial causal assumptions. A recent view claims that some biological explanations are statistically autonomous explanations (SAEs) whereby phenomena are accounted (...)
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