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  1. Policymaking under scientific uncertainty.Joe Roussos - 2020 - Dissertation, London School of Economics
    Policymakers who seek to make scientifically informed decisions are constantly confronted by scientific uncertainty and expert disagreement. This thesis asks: how can policymakers rationally respond to expert disagreement and scientific uncertainty? This is a work of non-ideal theory, which applies formal philosophical tools developed by ideal theorists to more realistic cases of policymaking under scientific uncertainty. I start with Bayesian approaches to expert testimony and the problem of expert disagreement, arguing that two popular approaches— supra-Bayesianism and the standard model of (...)
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  • Modeling Mystery.William Wood - 2016 - Scientia et Fides 4 (1):39-59.
    The practice of model-building is very common in analytic philosophical theology. Yet many other theologians worry that any attempt to model God must be hubristic and idolatrous. A better understanding of scientific modeling can set the stage for a more fruitful engagement between analytic theologians and their critics. I first present an account of scientific modeling that draws on recent work in the philosophy of science. I then apply that account to a prominent analytic model of the trinity, Michael Rea (...)
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  • Predictive Processing and the Representation Wars.Daniel Williams - 2018 - Minds and Machines 28 (1):141-172.
    Clark has recently suggested that predictive processing advances a theory of neural function with the resources to put an ecumenical end to the “representation wars” of recent cognitive science. In this paper I defend and develop this suggestion. First, I broaden the representation wars to include three foundational challenges to representational cognitive science. Second, I articulate three features of predictive processing’s account of internal representation that distinguish it from more orthodox representationalist frameworks. Specifically, I argue that it posits a resemblance-based (...)
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  • Computer simulations in metaphysics: Possibilities and limitations.Billy Wheeler - 2019 - Manuscrito 42 (3):108-148.
    Computer models and simulations have provided enormous benefits to researchers in the natural and social sciences, as well as many areas of philosophy. However, to date, there has been little attempt to use computer models in the development and evaluation of metaphysical theories. This is a shame, as there are good reasons for believing that metaphysics could benefit just as much from this practice as other disciplines. In this paper I assess the possibilities and limitations of using computer models in (...)
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  • 分析形而上学と経験科学の連続主義に対する批判的検討.Masahiro Takatori - 2023 - Kagaku Tetsugaku 56 (1):59.
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  • Modeling intentional agency: a neo-Gricean framework.Matti Sarkia - 2021 - Synthese 199 (3-4):7003-7030.
    This paper analyzes three contrasting strategies for modeling intentional agency in contemporary analytic philosophy of mind and action, and draws parallels between them and similar strategies of scientific model-construction. Gricean modeling involves identifying primitive building blocks of intentional agency, and building up from such building blocks to prototypically agential behaviors. Analogical modeling is based on picking out an exemplary type of intentional agency, which is used as a model for other agential types. Theoretical modeling involves reasoning about intentional agency in (...)
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  • On the continuity of metaphysics with science: Some scepticism and some suggestions.Jack Ritchie - 2022 - Metaphilosophy 53 (2-3):202-220.
  • Metaphysics as modeling: the handmaiden’s tale.L. A. Paul - 2012 - Philosophical Studies 160 (1):1-29.
    Critics of contemporary metaphysics argue that it attempts to do the hard work of science from the ease of the armchair. Physics, not metaphysics, tells us about the fundamental facts of the world, and empirical psychology is best placed to reveal the content of our concepts about the world. Exploring and understanding the world through metaphysical reflection is obsolete. In this paper, I will show why this critique of metaphysics fails, arguing that metaphysical methods used to make claims about the (...)
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  • Science, metaphysics and method.James Ladyman - 2012 - Philosophical Studies 160 (1):31-51.
    While there are many examples of metaphysical theorising being heuristically and intellectually important in the progress of scientific knowledge, many people wonder how metaphysics not closely informed and inspired by empirical science could lead to rival or even supplementary knowledge about the world. This paper assesses the merits of a popular defence of the a priori methodology of metaphysics that goes as follows. The first task of the metaphysician, like the scientist, is to construct a hypothesis that accounts for the (...)
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  • Modelling in Normative Ethics.Joe Roussos - 2022 - Ethical Theory and Moral Practice (5):1-25.
    This is a paper about the methodology of normative ethics. I claim that much work in normative ethics can be interpreted as modelling, the form of inquiry familiar from science, involving idealised representations. I begin with the anti-theory debate in ethics, and note that the debate utilises the vocabulary of scientific theories without recognising the role models play in science. I characterise modelling, and show that work with these characteristics is common in ethics. This establishes the plausibility of my interpretation. (...)
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  • Metaphysics and the philosophical imagination.Peter Godfrey-Smith - 2012 - Philosophical Studies 160 (1):97-113.
    Methods and goals in philosophy are discussed by first describing an ideal, and then looking at how the ideal might be approached. David Lewis’s work in metaphysics is critically examined and compared to analogous work by Mackie and Carnap. Some large-scale philosophical systematic work, especially in metaphysics, is best treated as model-building, in a sense of that term that draws on the philosophy of science. Models are constructed in a way that involves deliberate simplification, or other imaginative modification of reality, (...)
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  • Models and fictions in science.Peter Godfrey-Smith - 2009 - Philosophical Studies 143 (1):101 - 116.
    Non-actual model systems discussed in scientific theories are compared to fictions in literature. This comparison may help with the understanding of similarity relations between models and real-world target systems. The ontological problems surrounding fictions in science may be particularly difficult, however. A comparison is also made to ontological problems that arise in the philosophy of mathematics.
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  • The Regulative Use of Transcendental Ideas in Kant: Metaphysics as Modelling.Kristina Engelhard - 2023 - Revue de Métaphysique et de Morale 118 (2):175-194.
    La critique de la métaphysique dans la Dialectique transcendantale de la Critique de la raison pure débouche sur la doctrine de l’usage régulateur des idées transcendantales de la raison pure. La théorie de l’usage régulateur de ces idées est relativement abstraite et demande à être clarifiée. Kant affirme que ces idées ont un usage dans les sciences empiriques. Cependant il ne spécifie pas quel usage les sciences peuvent faire de ces idées. Dans cet article je compare les caractéristiques des idées (...)
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  • Representationalism is a dead end.Guilherme Sanches de Oliveira - 2018 - Synthese 198 (1):209-235.
    Representationalism—the view that scientific modeling is best understood in representational terms—is the received view in contemporary philosophy of science. Contributions to this literature have focused on a number of puzzles concerning the nature of representation and the epistemic role of misrepresentation, without considering whether these puzzles are the product of an inadequate analytical framework. The goal of this paper is to suggest that this possibility should be taken seriously. The argument has two parts, employing the “can’t have” and “don’t need” (...)
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  • What is Bitcoin?Craig Warmke - 2021 - Inquiry: An Interdisciplinary Journal of Philosophy.
    Many want to know what bitcoin is and how it works. But bitcoin is as complex as it is controversial, and relatively few have the technical background to understand it. In this paper, I offer an accessible on-ramp for understanding bitcoin in the form of a model. My model reveals both what bitcoin is and how it works. More specifically, it reveals that bitcoin is a fictional substance in a massively coauthored story on a network that automates and distributes jobs (...)
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  • Putnam’s Conception of Truth.Massimo Dell'Utri - 2016 - European Journal of Analytic Philosophy 12 (2):5-22.
    After stressing how the attempt to provide a plausible account of the connection between language and the world was one of Putnam’s constant preoccupations, this article describes the four stages his thinking about the concepts of truth and reality went through. Particular attention is paid to the kinds of problems that made him abandon each stage to enter the next. The analysis highlights how all the stages but one express a general non-epistemic stance towards truth and reality—the right stance, according (...)
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  • Naturalized Metaphysics and Scientific Constraint: A Model-Building Approach.Jake Spinella - 2019 - Dissertation, Georgia State University
    A problem with recent work about the relationship between metaphysics and science, especially in the theorizing of those who identify as “naturalized metaphysicians”, is the spotty, metaphorical characterization of what it means for science to “constrain” metaphysics. The most robust account of scientific constraint on metaphysical theorizing is advanced by James Ladyman and Don Ross in their 2007 book Every Thing Must Go. Ladyman & Ross claim that the only legitimate metaphysical hypotheses are those that unify two previously disparate scientific (...)
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  • Putnam, pragmatism and the fate of metaphysics.David Macarthur - 2008 - European Journal of Analytic Philosophy 4 (2):33-46.
    In Renewing Philosophy (1992), having surveyed a number of metaphysical programs in contemporary analytic philosophy, including Bernard Williams’ appeal to an absolute conception of the world, Ruth Millikan’s attempt to reduce intentionality to biological function, and Nelson Goodman’s irrealism, Putnam concludes as follows: I have argued that the decision of a large part of contemporary analytic philosophy to become a form of metaphysics is a mistake. Indeed, contemporary analytic metaphysics is in many ways a parody of the great metaphysics of (...)
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