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Scientific Explanation and the Causal Structure of the World

Princeton University Press (1984)

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  1. The Aims and Structures of Research Projects That Use Gene Regulatory Information with Evolutionary Genetic Models.Steve Elliott - 2017 - Dissertation, Arizona State University
    At the interface of developmental biology and evolutionary biology, the very criteria of scientific knowledge are up for grabs. A central issue is the status of evolutionary genetics models, which some argue cannot coherently be used with complex gene regulatory network (GRN) models to explain the same evolutionary phenomena. Despite those claims, many researchers use evolutionary genetics models jointly with GRN models to study evolutionary phenomena. This dissertation compares two recent research projects in which researchers jointly use the two kinds (...)
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  • Causation vs. Causal Explanation: Which Is More Fundamental?Marco J. Nathan - 2023 - Foundations of Science 28 (1):441-454.
    This essay examines the relation between causation and causal explanation. It distinguishes two prominent roles that causes play within the sciences. On the one hand, causes may work as metaphysical posits. From this standpoint, mainstream in contemporary philosophy, causation provides the ‘raw material’ for explanation. On the other hand, causes may be conceived as explanatory postulates, theoretical hypotheses lacking any substantial ontological commitment. This unduly neglected distinction provides the conceptual resources to revisit longstanding philosophical issues, such as overdetermination and causal (...)
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  • Prediction and Topological Models in Neuroscience.Bryce Gessell, Matthew Stanley, Benjamin Geib & Felipe De Brigard - 2020 - In Fabrizio Calzavarini & Marco Viola (eds.), Neural Mechanisms: New Challenges in the Philosophy of Neuroscience. Springer.
    In the last two decades, philosophy of neuroscience has predominantly focused on explanation. Indeed, it has been argued that mechanistic models are the standards of explanatory success in neuroscience over, among other things, topological models. However, explanatory power is only one virtue of a scientific model. Another is its predictive power. Unfortunately, the notion of prediction has received comparatively little attention in the philosophy of neuroscience, in part because predictions seem disconnected from interventions. In contrast, we argue that topological predictions (...)
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  • Imagination and Perception in Film Experience.Enrico Terrone - 2020 - Ergo: An Open Access Journal of Philosophy 7.
    Both perception and imagination seem to play a crucial role in our engagement with fiction films but whether they really do so, and which role they possibly play, is controversial. On the one hand, a fiction film, as film, is a depiction that invites us to perceive the events portrayed. On the other hand, as fiction, it invites us to imagine the story told. Thus, after watching the film Alien, one might say that one saw Ripley fighting the monster but (...)
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  • Does IBE Require a ‘Model’ of Explanation?Frank Cabrera - 2017 - British Journal for the Philosophy of Science 71 (2):727-750.
    In this article, I consider an important challenge to the popular theory of scientific inference commonly known as ‘inference to the best explanation’, one that has received scant attention.1 1 The problem is that there exists a wide array of rival models of explanation, thus leaving IBE objectionably indeterminate. First, I briefly introduce IBE. Then, I motivate the problem and offer three potential solutions, the most plausible of which is to adopt a kind of pluralism about the rival models of (...)
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  • Keep the chickens cooped: the epistemic inadequacy of free range metaphysics.Amanda Bryant - 2020 - Synthese 197 (5):1867-1887.
    This paper aims to better motivate the naturalization of metaphysics by identifying and criticizing a class of theories I call ’free range metaphysics’. I argue that free range metaphysics is epistemically inadequate because the constraints on its content—consistency, simplicity, intuitive plausibility, and explanatory power—are insufficiently robust and justificatory. However, since free range metaphysics yields clarity-conducive techniques, incubates science, and produces conceptual and formal tools useful for scientifically engaged philosophy, I do not recommend its discontinuation. I do recommend, however, ending the (...)
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  • Resenha/Book Review: De Regt, H.W. Understanding Scientific Understanding. New York: Oxford University Press, 2017. [REVIEW]Luana Poliseli - 2020 - Principia: An International Journal of Epistemology 24 (1):239-245.
    Book Review: De Regt, H. W. Understanding Scientific Understanding. New York: Oxford University Press, 2017.
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  • A new proposal how to handle counterexamples to Markov causation à la Cartwright, or: fixing the chemical factory.Nina Retzlaff & Alexander Gebharter - 2020 - Synthese 197 (4):1467-1486.
    Cartwright (Synthese 121(1/2):3–27, 1999a; The dappled world, Cambridge University Press, Cambridge, 1999b) attacked the view that causal relations conform to the Markov condition by providing a counterexample in which a common cause does not screen off its effects: the prominent chemical factory. In this paper we suggest a new way to handle counterexamples to Markov causation such as the chemical factory. We argue that Cartwright’s as well as similar scenarios feature a certain kind of non-causal dependence that kicks in once (...)
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  • Force and Objectivity: On Impact, Form, and Receptivity to Nature in Science and Art.Eli Lichtenstein - 2019 - Dissertation, University of Michigan
    I argue that scientific and poetic modes of objectivity are perspectival duals: 'views' from and onto basic natural forces, respectively. I ground this analysis in a general account of objectivity, not in terms of either 'universal' or 'inter-subjective' validity, but as receptivity to basic features of reality. Contra traditionalists, bare truth, factual knowledge, and universally valid representation are not inherently valuable. But modern critics who focus primarily on the self-expressive aspect of science are also wrong to claim that our knowledge (...)
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  • Jean Perrin and the Philosophers’ Stories: The Role of Multiple Determination in Determining Avogadro’s Number.Klodian Coko - 2020 - Hopos: The Journal of the International Society for the History of Philosophy of Science 10 (1):143-193.
    The French physicist Jean Baptiste Perrin is widely credited with providing the conclusive argument for atomism. The most well-known part of Perrin’s argument is his description of thirteen different procedures for determining Avogadro’s number (N)–the number of atoms, ions, and molecules contained in a gram-atom, gram-ion, and gram-mole of a substance, respectively. Because of its success in ending the atomism debates Perrin’s argument has been the focus of much philosophical interest. The various philosophers, however, have reached different conclusions, not only (...)
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  • The Preservation Paradox and Natural Capital.C. Tyler DesRoches - 2020 - Ecosystem Services: Science, Policy and Practice 101058 (N/A):1-7.
    Many ecological economists have argued that some natural capital should be preserved for posterity. Yet, among environmental philosophers, the preservation paradox entails that preserving parts of nature, including those denoted by natural capital, is impossible. The paradox claims that nature is a realm of phenomena independent of intentional human agency, that preserving and restoring nature require intentional human agency, and, therefore, no one can preserve or restore nature (without making it artificial). While this article argues that the preservation paradox is (...)
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  • Equilibrium explanation as structural non-mechanistic explanation: The case long-term bacterial persistence in human hosts.Javier Suárez & Roger Deulofeu - 2019 - Teorema: International Journal of Philosophy 3 (38):95-120.
    Philippe Huneman has recently questioned the widespread application of mechanistic models of scientific explanation based on the existence of structural explanations, i.e. explanations that account for the phenomenon to be explained in virtue of the mathematical properties of the system where the phenomenon obtains, rather than in terms of the mechanisms that causally produce the phenomenon. Structural explanations are very diverse, including cases like explanations in terms of bowtie structures, in terms of the topological properties of the system, or in (...)
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  • Explanations and candidate explanations in physics.Martin King - 2020 - European Journal for Philosophy of Science 10 (1):1-17.
    There has been a growing trend to include non-causal models in accounts of scientific explanation. A worry addressed in this paper is that without a higher threshold for explanation there are no tools for distinguishing between models that provide genuine explanations and those that provide merely potential explanations. To remedy this, a condition is introduced that extends a veridicality requirement to models that are empirically underdetermined, highly-idealised, or otherwise non-causal. This condition is applied to models of electroweak symmetry breaking beyond (...)
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  • A dynamical systems approach to causation.Peter Fazekas, Balazs Gyenis, Gábor Hofer-Szabó & Gergely Kertesz - 2019 - Synthese 198 (7):6065-6087.
    Our approach aims at accounting for causal claims in terms of how the physical states of the underlying dynamical system evolve with time. Causal claims assert connections between two sets of physicals states—their truth depends on whether the two sets in question are genuinely connected by time evolution such that physical states from one set evolve with time into the states of the other set. We demonstrate the virtues of our approach by showing how it is able to account for (...)
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  • The creation of institutional reality, special theory of relativity, and mere Cambridge change.Tobias Hansson Wahlberg - 2021 - Synthese 198 (6):5835-5860.
    Saying so can make it so, J. L. Austin taught us long ago. Famously, John Searle has developed this Austinian insight in an account of the construction of institutional reality. Searle maintains that so-called Status Function Declarations, allegedly having a “double direction of fit”, synchronically create worldly institutional facts, corresponding to the propositional content of the declarations. I argue that Searle’s account of the making of institutional reality is in tension with the special theory of relativity—irrespective of whether the account (...)
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  • Causal after all : a model of mental causation for dualists.Bram Vaassen - 2019 - Dissertation, Umeå University
    In this dissertation, I develop and defend a model of causation that allows for dualist mental causation in worlds where the physical domain is physically complete. In Part I, I present the dualist ontology that will be assumed throughout the thesis and identify two challenges for models of mental causation within such an ontology: the exclusion worry and the common cause worry. I also argue that a proper response to these challenges requires a thoroughly lightweight account of causation, i.e. an (...)
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  • B-Theory and Time Biases.Sayid Bnefsi - 2019 - In Patrick Blackburn, Per Hasle & Peter Øhrstrøm (eds.), Logic and Philosophy of Time: Further Themes from Prior. Aalborg University Press. pp. 41-52.
    We care not only about what experiences we have, but when we have them too. However, on the B-theory of time, something’s timing isn’t an intrinsic way for that thing to be or become. Given B-theory, should we be rationally indifferent about the timing per se of an experience? In this paper, I argue that B-theorists can justify time-biased preferences for pains to be past rather than present and for pleasures to be present rather than past. In support of this (...)
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  • Against Interpretability: a Critical Examination of the Interpretability Problem in Machine Learning.Maya Krishnan - 2020 - Philosophy and Technology 33 (3):487-502.
    The usefulness of machine learning algorithms has led to their widespread adoption prior to the development of a conceptual framework for making sense of them. One common response to this situation is to say that machine learning suffers from a “black box problem.” That is, machine learning algorithms are “opaque” to human users, failing to be “interpretable” or “explicable” in terms that would render categorization procedures “understandable.” The purpose of this paper is to challenge the widespread agreement about the existence (...)
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  • Can Testimony Generate Understanding?Federica Isabella Malfatti - 2019 - Social Epistemology 33 (6):477-490.
    Can we gain understanding from testifiers who themselves fail to understand? At first glance, this looks counterintuitive. How could a hearer who has no understanding or very poor understanding of a certain subject matter non-accidentally extract items of information relevant to understanding from a speaker’s testimony if the speaker does not understand what she is talking about? This paper shows that, when there are theories or representational devices working as mediators, speakers can intentionally generate understanding in their hearers by engaging (...)
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  • Robust realism for the life sciences.Markus I. Eronen - 2019 - Synthese 196 (6):2341-2354.
    Although scientific realism is the default position in the life sciences, philosophical accounts of realism are geared towards physics and run into trouble when applied to fields such as biology or neuroscience. In this paper, I formulate a new robustness-based version of entity realism, and show that it provides a plausible account of realism for the life sciences that is also continuous with scientific practice. It is based on the idea that if there are several independent ways of measuring, detecting (...)
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  • Why Causal Evidencing of Risk Fails. An Example from Oil Contamination.Elena Rocca & Rani Lill Anjum - 2019 - Ethics, Policy and Environment 22 (2):197-213.
    ABSTRACTMeasurements of environmental toxicity from long-term exposure to oil contamination have delivered inaccurate and contradictory results regarding the potential harms for humans and ecosyste...
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  • Model-based Cognitive Neuroscience: Multifield Mechanistic Integration in Practice.Mark Povich - 2019 - Theory & Psychology 5 (29):640–656.
    Autonomist accounts of cognitive science suggest that cognitive model building and theory construction (can or should) proceed independently of findings in neuroscience. Common functionalist justifications of autonomy rely on there being relatively few constraints between neural structure and cognitive function (e.g., Weiskopf, 2011). In contrast, an integrative mechanistic perspective stresses the mutual constraining of structure and function (e.g., Piccinini & Craver, 2011; Povich, 2015). In this paper, I show how model-based cognitive neuroscience (MBCN) epitomizes the integrative mechanistic perspective and concentrates (...)
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  • A Puzzle About Economic Explanation: Examining the Cournot and Bertrand Models of Duopoly Competition.Jonathan Nebel - 2017 - Dissertation, Kansas State University
    Economists use various models to explain why it is that firms are capable of pricing above marginal cost. In this paper, we will examine two of them: the Cournot and Bertrand duopoly models. Economists generally accept both models as good explanations of the phenomenon, but the two models contradict each other in various important ways. The puzzle is that two inconsistent explanations are both regarded as good explanations for the same phenomenon. This becomes especially worrisome when the two models are (...)
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  • Ontic Explanation Is either Ontic or Explanatory, but Not Both.Cory Wright & Dingmar van Eck - 2018 - Ergo: An Open Access Journal of Philosophy 5:997–1029.
    What features will something have if it counts as an explanation? And will something count as an explanation if it has those features? In the second half of the 20th century, philosophers of science set for themselves the task of answering such questions, just as a priori conceptual analysis was generally falling out of favor. And as it did, most philosophers of science just moved on to more manageable questions about the varieties of explanation and discipline-specific scientific explanation. Often, such (...)
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  • (1 other version)Causal Explanation in Psychiatry.Tuomas K. Pernu - 2019 - In Şerife Tekin & Robyn Bluhm (eds.), The Bloomsbury Companion to Philosophy of Psychiatry. London: Bloomsbury.
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  • (1 other version)Kim on Causation and Mental Causation.Panu Raatikainen - 2018 - E-Logos Electronic Journal for Philosophy 25 (2):22–47.
    Jaegwon Kim’s views on mental causation and the exclusion argument are evaluated systematically. Particular attention is paid to different theories of causation. It is argued that the exclusion argument and its premises do not cohere well with any systematic view of causation.
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  • Extrapolation of causal effects – hopes, assumptions, and the extrapolator’s circle.Donal Khosrowi - 2019 - Journal of Economic Methodology 26 (1):45-58.
    I consider recent strategies proposed by econometricians for extrapolating causal effects from experimental to target populations. I argue that these strategies fall prey to the extrapolator’s circle: they require so much knowledge about the target population that the causal effects to be extrapolated can be identified from information about the target alone. I then consider comparative process tracing as a potential remedy. Although specifically designed to evade the extrapolator’s circle, I argue that CPT is unlikely to facilitate extrapolation in typical (...)
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  • Pluralization through epistemic competition: scientific change in times of data-intensive biology.Fridolin Gross, Nina Kranke & Robert Meunier - 2019 - History and Philosophy of the Life Sciences 41 (1):1.
    We present two case studies from contemporary biology in which we observe conflicts between established and emerging approaches. The first case study discusses the relation between molecular biology and systems biology regarding the explanation of cellular processes, while the second deals with phylogenetic systematics and the challenge posed by recent network approaches to established ideas of evolutionary processes. We show that the emergence of new fields is in both cases driven by the development of high-throughput data generation technologies and the (...)
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  • How Beliefs are like Colors.Devin Sanchez Curry - 2018 - Dissertation, University of Pennsylvania
    Teresa believes in God. Maggie’s wife believes that the Earth is flat, and also that Maggie should be home from work by now. Anouk—a cat—believes it is dinner time. This dissertation is about what believing is: it concerns what, exactly, ordinary people are attributing to Teresa, Maggie’s wife, and Anouk when affirming that they are believers. Part I distinguishes the attitudes of belief that people attribute to each other (and other animals) in ordinary life from the cognitive states of belief (...)
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  • Explanation, understanding, and belief revision.Andrés Páez - 2018 - In Marco Ruffino, Max Freund & Max Fernández de Castro (eds.), Logic and philosophy of logic. Recent trends from Latin America and Spain. College Publications. pp. 233-252.
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  • Knowledge-how, Understanding-why and Epistemic Luck: an Experimental Study.J. Adam Carter, Duncan Pritchard & Joshua Shepherd - 2019 - Review of Philosophy and Psychology 10 (4):701-734.
    Reductive intellectualists about knowledge-how hold, contra Ryle, that knowing how to do something is just a kind of propositional knowledge. In a similar vein, traditional reductivists about understanding-why insist, in accordance with a tradition beginning with Aristotle, that the epistemic standing one attains when one understands why something is so is itself just a kind of propositional knowledge—viz., propositional knowledge of causes. A point that has been granted on both sides of these debates is that if these reductive proposals are (...)
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  • (1 other version)Evidential Reasoning.Marcello Di Bello & Bart Verheij - 2011 - In G. Bongiovanni, Don Postema, A. Rotolo, G. Sartor, C. Valentini & D. Walton (eds.), Handbook in Legal Reasoning and Argumentation. Dordrecht, Netherland: Springer. pp. 447-493.
    The primary aim of this chapter is to explain the nature of evidential reasoning, the characteristic difficulties encountered, and the tools to address these difficulties. Our focus is on evidential reasoning in criminal cases. There is an extensive scholarly literature on these topics, and it is a secondary aim of the chapter to provide readers the means to find their way in historical and ongoing debates.
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  • Representation in Cognitive Science.Nicholas Shea - 2018 - Oxford University Press.
    How can we think about things in the outside world? There is still no widely accepted theory of how mental representations get their meaning. In light of pioneering research, Nicholas Shea develops a naturalistic account of the nature of mental representation with a firm focus on the subpersonal representations that pervade the cognitive sciences.
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  • Because without Cause: Non-Causal Explanations in Science and Mathematics. [REVIEW]Mark Povich & Carl F. Craver - 2018 - Philosophical Review 127 (3):422-426.
    Lange’s collection of expanded, mostly previously published essays, packed with numerous, beautiful examples of putatively non-causal explanations from biology, physics, and mathematics, challenges the increasingly ossified causal consensus about scientific explanation, and, in so doing, launches a new field of philosophic investigation. However, those who embraced causal monism about explanation have done so because appeal to causal factors sorts good from bad scientific explanations and because the explanatory force of good explanations seems to derive from revealing the relevant causal (or (...)
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  • Quelques remarques sur une extension abusive du concept de causalité en cosmologie.Trelut Eric - 2013 - In Michel Bastit (ed.), Etudes de cosmologie philosophique. Paris: L'harmattan.
    "L'énigme majeure est la cause efficace" insiste Jean Largeault (1985). En effet, la physique contemporaine géométrise les phénomènes de la nature en transformant les causes efficientes en causalité formelle. Cependant elle nous invite aussi à accorder le structurel etle physique, le formel et le dynamique. Il convient donc de s'interroger sur le fondement du pouvoir créateur des mathématiques ou de leur caractère générateur en physique. Selon Charles de Koninck, la fécondité des mathématiques parait comme une intériorisation de la figure philosophique (...)
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  • Causal powers and social ontology.Tobias Hansson Wahlberg - 2020 - Synthese 197 (3):1357-1377.
    Over the last few decades, philosophers and social scientists have applied the so-called powers ontology to the social domain. I argue that this application is highly problematic: many of the alleged powers in the social realm violate the intrinsicality condition, and those that can be coherently taken to be intrinsic to their bearers are arguably causally redundant. I end the paper by offering a diagnosis of why philosophers and social scientists have been tempted to think that there are powers in (...)
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  • Explanatory Abstraction and the Goldilocks Problem: Interventionism Gets Things Just Right.Thomas Blanchard - 2020 - British Journal for the Philosophy of Science 71 (2):633-663.
    Theories of explanation need to account for a puzzling feature of our explanatory practices: the fact that we prefer explanations that are relatively abstract but only moderately so. Contra Franklin-Hall ([2016]), I argue that the interventionist account of explanation provides a natural and elegant explanation of this fact. By striking the right balance between specificity and generality, moderately abstract explanations optimally subserve what interventionists regard as the goal of explanation, namely identifying possible interventions that would have changed the explanandum.
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  • On the Argument from Physics and General Relativity.Christopher Gregory Weaver - 2020 - Erkenntnis 85 (2):333-373.
    I argue that the best interpretation of the general theory of relativity has need of a causal entity, and causal structure that is not reducible to light cone structure. I suggest that this causal interpretation of GTR helps defeat a key premise in one of the most popular arguments for causal reductionism, viz., the argument from physics.
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  • A Model-Invariant Theory of Causation.J. Dmitri Gallow - 2021 - Philosophical Review 130 (1):45-96.
    I provide a theory of causation within the causal modeling framework. In contrast to most of its predecessors, this theory is model-invariant in the following sense: if the theory says that C caused (didn't cause) E in a causal model, M, then it will continue to say that C caused (didn't cause) E once we've removed an inessential variable from M. I suggest that, if this theory is true, then we should understand a cause as something which transmits deviant or (...)
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  • Explanation classification depends on understanding: extending the epistemic side-effect effect.Daniel A. Wilkenfeld & Tania Lombrozo - 2020 - Synthese 197 (6):2565-2592.
    Our goal in this paper is to experimentally investigate whether folk conceptions of explanation are psychologistic. In particular, are people more likely to classify speech acts as explanations when they cause understanding in their recipient? The empirical evidence that we present suggests this is so. Using the side-effect effect as a marker of mental state ascriptions, we argue that lay judgments of explanatory status are mediated by judgments of a speaker’s and/or audience’s mental states. First, we show that attributions of (...)
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  • Philosophie der Soziologie.Simon Lohse & Jens Greve - 2017 - In Simon Lohse & Thomas Reydon (eds.), Grundriss Wissenschaftsphilosophie. Die Philosophien der Einzelwissenschaften. Hamburg: Meiner. pp. 543-582.
    Die Einleitung unseres Kapitels bietet eine grundsäzliche Charakterisierung der Soziologie und zeichnet einige wichtige historische Entwicklungslinien der Philosophie der Soziologie (PdS) nach. Im Hauptteil werden zentrale ontologische sowie ausgewählte explanatorische Themen der PdS vorgestellt. Im Schlussteil sollen einige aktuelle Diskussionen umrissen werden.
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  • (2 other versions)Counterfactuals and Explanatory Pluralism.Kareem Khalifa, Gabriel Doble & Jared Millson - 2018 - British Journal for the Philosophy of Science 71 (4):1439-1460.
    Recent literature on non-causal explanation raises the question as to whether explanatory monism, the thesis that all explanations submit to the same analysis, is true. The leading monist proposal holds that all explanations support change-relating counterfactuals. We provide several objections to this monist position. 1Introduction2Change-Relating Monism's Three Problems3Dependency and Monism: Unhappy Together4Another Challenge: Counterfactual Incidentalism4.1High-grade necessity4.2Unity in diversity5Conclusion.
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  • Understanding as integration of heterogeneous representations.Sergio F. Martinez - 2013 - In J. I. Galparsoro and A. Cordero (ed.), Reflections on naturalism. Sense publishers. pp. 138-147.
    The search for understanding is a major aim of science. Traditionally, understanding has been undervalued in the philosophy of science because of its psychological underpinnings; nowadays, however, it is widely recognized that epistemology cannot be divorced from psychology as sharp as traditional epistemology required. This eliminates the main obstacle to give scientific understanding due attention in philosophy of science. My aim in this paper is to describe an account of scientific understanding as an emergent feature of our mastering of different (...)
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  • Manipulationism, Ceteris Paribus Laws, and the Bugbear of Background Knowledge.Robert Kowalenko - 2017 - International Studies in the Philosophy of Science 31 (3):261-283.
    According to manipulationist accounts of causal explanation, to explain an event is to show how it could be changed by intervening on its cause. The relevant change must be a ‘serious possibility’ claims Woodward 2003, distinct from mere logical or physical possibility—approximating something I call ‘scientific possibility’. This idea creates significant difficulties: background knowledge is necessary for judgments of possibility. Yet the primary vehicles of explanation in manipulationism are ‘invariant’ generalisations, and these are not well adapted to encoding such knowledge, (...)
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  • Grounding and metaphysical explanation: it’s complicated.Anna-Sofia Maurin - 2019 - Philosophical Studies 176 (6):1573-1594.
    Grounding theorists insist that grounding and explanation are intimately related. This claim could be understood as saying either that grounding ‘inherits’ its properties from explanation or it could be interpreted as saying that grounding plays an important—possibly an indispensable—role in metaphysical explanation. Or both. I argue that saying that grounding ‘inherits’ its properties from explanation can only be justified if grounding is explanatory by nature, but that this view is untenable. We ought therefore to be ‘separatists’ and view grounding and (...)
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  • El Realismo de Leyes Naturales: ¿en qué consiste?Edgar Eduardo Rojas Durán - 2018 - Agora 37 (1):177-203.
    This paper aims to answer the question: what does the realism of laws of nature consist of? To achieve this, in the first part, three philosophical accounts of laws of nature are presented and examined: the universalist, the dispositionalist and the counter-factualist. The presentation and examination focuses on the answer given by each of these accounts to the question: what is a law of nature? Later, in the second part, convergences and divergences between these three accounts are shown. Finally, in (...)
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  • Realism and the limits of explanatory reasoning.Juha Saatsi - 2017 - In The Routledge Handbook of Scientific Realism. New York: Routledge. pp. 200-211.
    This chapter examines issues surrounding inference to the best explanation, its justification, and its role in different arguments for scientific realism, as well as more general issues concerning explanations’ ontological commitments. Defending the reliability of inference to the best explanation has been a central plank in various realist arguments, and realists have drawn various ontological conclusions from the premise that a given scientific explanation best explains some phenomenon. This chapter stresses the importance of thinking carefully about the nature of explanation (...)
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  • The demand for contrastive explanations.Nadine Elzein - 2019 - Philosophical Studies 176 (5):1325-1339.
    A “contrastive explanation” explains not only why some event A occurred, but why A occurred as opposed to some alternative event B. Some philosophers argue that agents could only be morally responsible for their choices if those choices have contrastive explanations, since they would otherwise be “luck infested”. Assuming that contrastive explanations cannot be offered for causally undetermined events, this requirement entails that no one could be held responsible for a causally undetermined choice. Such arguments challenge incompatibilism, since they entail (...)
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  • Exclusion in Morality.Lei Zhong - 2016 - Grazer Philosophische Studien 93 (2):275-290.
    Recently some philosophers suggested an exclusion problem for moral non-naturalism, which is similar to the exclusion problem in philosophy of mind. In this article, the author aims to advance the discussion of exclusion in morality by investigating two influential solutions to the exclusion problem: the autonomy solution and the overdetermination solution. The author attempts to show that the moral non-naturalist can solve the exclusion problem in a way that is different from the approach to solving mental-physical exclusion. First, the author (...)
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  • Models and Explanation.Alisa Bokulich - 2017 - In Magnani Lorenzo & Bertolotti Tommaso Wayne (eds.), Springer Handbook of Model-Based Science. Springer. pp. 103-118.
    Detailed examinations of scientific practice have revealed that the use of idealized models in the sciences is pervasive. These models play a central role in not only the investigation and prediction of phenomena, but in their received scientific explanations as well. This has led philosophers of science to begin revising the traditional philosophical accounts of scientific explanation in order to make sense of this practice. These new model-based accounts of scientific explanation, however, raise a number of key questions: Can the (...)
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