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Travis Holmes [7]Travis L. Holmes [3]
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Travis Holmes
University of Missouri, Columbia
  1.  12
    Cognitive Dynamical Models as Minimal Models.Travis Holmes - 2020 - Synthese 199 (1-2):2353-2373.
    The debate over the explanatory nature of cognitive models has been waged mostly between two factions: the mechanists and the dynamical systems theorists. The former hold that cognitive models are explanatory only if they satisfy a set of mapping criteria, particularly the 3M/3m* requirement. The latter have argued, pace the mechanists, that some cognitive models are both dynamical and constitute covering-law explanations. In this paper, I provide a minimal model interpretation of dynamical cognitive models, arguing that this both provides needed (...)
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  2.  16
    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 87:13-21.
    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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  3.  35
    Entrepreneurial Beleifs and Agency Under Knightian Uncertainty.Randall Westgren & Travis Holmes - 2021 - Philosophy of Management 22 (2):199-217.
    At the centenary of Frank H. Knight’s Risk, Uncertainty, and Profit (1921), 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. (...)
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  4.  14
    Statistical Autonomous Explanations and the Patterns of Nature: A Modified Account.Travis Holmes & Andre Ariew - forthcoming - British Journal for the Philosophy of Science.
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  5.  6
    Reckoning with Continuum Idealizations: Some Lessons From Soil Hydrology.Travis Holmes - 2022 - Philosophy of Science 89 (2):319-336.
    In scientific modeling, continuum idealizations bridge scales but at the cost of fundamentally misrepresenting the microstructure of the system. This engenders a mystery. If continuum idealizations are dispensable in principle, this de-problematizes their representational inaccuracy, since continuum properties reduce to lower-scale properties, but the mystery of how this reduction could be carried out endures. Alternatively, if continuum idealizations are indispensable in principle, this is consistent with their explanatory and predictive success but renders their representational inaccuracy mysterious. I argue for a (...)
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  6.  11
    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 whereby phenomena are accounted for (...)
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  7.  3
    How Revealed Preference Theory Can Be Explanatory.Travis Holmes - 2022 - Studies in History and Philosophy of Science Part A 91:20-27.
    The question of how to frame agential preferences in economics finds one caught between Scylla and Charybdis. If preferences are framed in as minimal and deflationary a manner as revealed preference theory recommends, the theory falls prey to objections about its predictiveness and explanatory power. Alternatively, if too many cognitive and causal intricacies are incorporated into the preference concept, revealed preference models will violate pragmatic norms of model construction, surrendering model simplicity and generality. This paper charts a middle course, arguing (...)
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  8.  14
    Deliberative Democratic Equality.Travis Holmes - unknown
    In what follows, I consider two influential views about distributive justice: democratic equality and luck egalitarianism. In examining and criticizing these views, I attempt to extract elements from each of them for what I take to be important to building a complete conception of distributive justice. I then present and defend my own view, deliberative democratic equality, a view that can be described as a hybrid account of luck egalitarianism and democratic equality.
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  9.  2
    Cognitive extra-mathematical explanations.Travis Holmes - 2022 - Synthese 200 (2):1-23.
    This paper advances the view that some explanations in cognitive science are extra-mathematical explanations. Demonstrating the plausibility of this interpretation centers around certain efficient coding cases which ineliminably enlist information theoretic laws, facts and theorems to identify in-principle, mathematical constraints on neuronal information processing capacities. The explanatory structure in these cases is shown to parallel other putative instances of mathematical explanation. The upshot for cognitive mathematical explanations is thus two-fold: first, the view capably rebuts standard mechanistic objections to non-mechanistic explanation; (...)
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  10.  1
    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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