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  1. Absence and Abnormality.Bram Vaassen - 2023 - Analysis 83 (1):98-106.
    Absences pose a dilemma for theories of causation. Allowing them to be causes seems to make theories too permissive (Lewis, 2000). Banning them from being causes seems to make theories too restrictive (Schaffer, 2000, 2004). An increasingly popular approach to this dilemma is to acknowledge that norms can affect which absences count as causes (e.g., Thomson, 2003; McGrath, 2005; Henne et al., 2017; Willemsen, 2018). In this article, I distinguish between two influential implementations of such ‘abnormality’ approaches and argue that (...)
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  • Projects and Methods of Experimental Philosophy.Eugen Fischer & Justin Sytsma - 2023 - In Alexander Max Bauer & Stephan Kornmesser (eds.), The Compact Compendium of Experimental Philosophy. Berlin and Boston: De Gruyter. pp. 39-70.
    How does experimental philosophy address philosophical questions and problems? That is: What projects does experimental philosophy pursue? What is their philosophical relevance? And what empirical methods do they employ? Answers to these questions will reveal how experimental philosophy can contribute to the longstanding ambition of placing philosophy on the ‘secure path of a science’, as Kant put it. We argue that experimental philosophy has introduced a new methodological perspective – a ‘meta-philosophical naturalism’ that addresses philosophical questions about a phenomenon by (...)
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  • Philosophers' linguistic expertise: A psycholinguistic approach to the expertise objection against experimental philosophy.Eugen Fischer, Paul E. Engelhardt & Aurélie Herbelot - 2022 - Synthese 200 (1):1-33.
    Philosophers are often credited with particularly well-developed conceptual skills. The ‘expertise objection’ to experimental philosophy builds on this assumption to challenge inferences from findings about laypeople to conclusions about philosophers. We draw on psycholinguistics to develop and assess this objection. We examine whether philosophers are less or differently susceptible than laypersons to cognitive biases that affect how people understand verbal case descriptions and judge the cases described. We examine two possible sources of difference: Philosophers could be better at deploying concepts, (...)
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  • Causation, Responsibility, and Typicality.Justin Sytsma - 2020 - Review of Philosophy and Psychology 12 (4):699-719.
    There is ample evidence that violations of injunctive norms impact ordinary causal attributions. This has struck some as deeply surprising, taking the ordinary concept of causation to be purely descriptive. Our explanation of the findings—the responsibility view—rejects this: we contend that the concept is in fact partly normative, being akin to concepts like responsibility and accountability. Based on this account, we predicted a very different pattern of results for causal attributions when an agent violates a statistical norm. And this pattern (...)
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  • Causal Attributions and Corpus Analysis.Sytsma Justin, Bluhm Roland, Willemsen Pascale & Reuter Kevin - 2019 - In Eugen Fischer & Mark Curtis (eds.), Methodological Advances in Experimental Philosophy. London: Bloomsbury Press.
    Although philosophers have often held that causation is a purely descriptive notion, a growing body of experimental work on ordinary causal attributions using questionnaire methods indicates that it is heavily influenced by normative information. These results have been the subject of sceptical challenges. Additionally, those who find the results compelling have disagreed about how best to explain them. In this chapter, we help resolve these debates by using a new set of tools to investigate ordinary causal attributions—the methods of corpus (...)
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  • All in the Family: The History and Philosophy of Experimental Philosophy.Justin Sytsma, Joseph Ulatowski & Chad Gonnerman - 2023 - In Alexander Max Bauer & Stephan Kornmesser (eds.), The Compact Compendium of Experimental Philosophy. Berlin and Boston: De Gruyter.
    Experimental philosophy (or “x-phi”) is a way of doing philosophy. It is “traditional” philosophy, but with a little something extra: In addition to the expected philosophical arguments and engagement, x-phi involves the use of empirical methods to test the empirical claims that arise. This extra bit strikes some as a new, perhaps radical, addition to philosophical practice. We don’t think so. As this chapter will show, empirical claims have been common across the history of Western philosophy, as have appeals to (...)
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  • The Compact Compendium of Experimental Philosophy.Alexander Max Bauer & Stephan Kornmesser (eds.) - 2023 - Berlin and Boston: De Gruyter.
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  • Deep Learning Applied to Scientific Discovery: A Hot Interface with Philosophy of Science.Louis Vervoort, Henry Shevlin, Alexey A. Melnikov & Alexander Alodjants - 2023 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 54 (2):339-351.
    We review publications in automated scientific discovery using deep learning, with the aim of shedding light on problems with strong connections to philosophy of science, of physics in particular. We show that core issues of philosophy of science, related, notably, to the nature of scientific theories; the nature of unification; and of causation loom large in scientific deep learning. Therefore, advances in deep learning could, and ideally should, have impact on philosophy of science, and vice versa. We suggest lines of (...)
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  • How causal structure, causal strength, and foreseeability affect moral judgments.Neele Engelmann & Michael R. Waldmann - 2022 - Cognition 226 (C):105167.
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  • Reversing the Norm Effect on Causal Attributions.John Schwenkler & Justin Sytsma - manuscript
    Research in the psychology of causal thinking has frequently revealed effects of normative considerations on causal attributions, where participants tend to assign causality more strongly to agents who violate a norm in bringing about an outcome. Across several experiments, we show that it is possible to reverse this norm effect when the outcome in question is good rather than bad: in these cases, participants assign causality more strongly to a norm-conforming agent than to an agent who violates a norm. We (...)
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  • Inappropriate stereotypical inferences? An adversarial collaboration in experimental ordinary language philosophy.Eugen Fischer, Paul E. Engelhardt & Justin Sytsma - 2020 - Synthese 198 (11):10127-10168.
    This paper trials new experimental methods for the analysis of natural language reasoning and the development of critical ordinary language philosophy in the wake of J.L. Austin. Philosophical arguments and thought experiments are strongly shaped by default pragmatic inferences, including stereotypical inferences. Austin suggested that contextually inappropriate stereotypical inferences are at the root of some philosophical paradoxes and problems, and that these can be resolved by exposing those verbal fallacies. This paper builds on recent efforts to empirically document inappropriate stereotypical (...)
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  • Answers at Gunpoint: On Livengood and Sytsma’s Revolver Case.Alexander Max Bauer & Jan Romann - 2022 - Philosophy of Science 89 (1):180-192.
    Jonathan Livengood and Justin Sytsma have published a series of studies on “Actual Causation and Compositionality,” in which they investigate causal attributions of laypeople. We use one of their vignettes to follow up on their research. Our findings cast doubt on their conclusion that ordinary causal attributions tend to violate the compositionality constraint if one looks at cases in which someone is responsible for an effect by way of an intermediary that does not share in the responsibility.
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  • The Extent of Causal Superseding.Justin Sytsma - unknown
    Research indicates that norms matter for ordinary causal attributions. Across a range of cases in which two agents jointly bring about an outcome, with one violating a norm while the other does not, causal ratings are higher for the agent who violates the norm. Building off such findings, Kominsky et al. note a related phenomenon that they term “causal superseding”—whether or not one agent violates a norm also affects causal ratings for the other agent. Kominsky et al. offer an explanation (...)
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