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  1. A Cautionary Contribution to the Philosophy of Explanation in the Cognitive Neurosciences.A. Nicolás Venturelli - 2016 - Minds and Machines 26 (3):259-285.
    I propose a cautionary assessment of the recent debate concerning the impact of the dynamical approach on philosophical accounts of scientific explanation in the cognitive sciences and, particularly, the cognitive neurosciences. I criticize the dominant mechanistic philosophy of explanation, pointing out a number of its negative consequences: In particular, that it doesn’t do justice to the field’s diversity and stage of development, and that it fosters misguided interpretations of dynamical models’ contribution. In order to support these arguments, I analyze a (...)
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  • The nature and norms of scientific explanation: some preliminaries.Abel Peña & Cory Wright - 2023 - Zagadnienia Filozoficzne W Nauce 74:5–17.
    The paper introduces a special issue of the journal Philosophical Problems in Science (ZFN) on the topic of the nature and norms of scientific explanation.
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  • Why Questions, and Why Just Why-Questions?Matti Sintonen - 1999 - Synthese 120 (1):125-135.
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  • Calibrating and constructing models of protein folding.Jeffry L. Ramsey - 2007 - Synthese 155 (3):307-320.
    Prediction is more than testing established theory by examining whether the prediction matches the data. To show this, I examine the practices of a community of scientists, known as threaders, who are attempting to predict the final, folded structure of a protein from its primary structure, i.e., its amino acid sequence. These scientists employ a careful and deliberate methodology of prediction. A key feature of the methodology is calibration. They calibrate in order to construct better models. The construction leads to (...)
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  • A reason to be rational.Carl David Https://Orcidorg191X Mildenberger - 2019 - Inquiry: An Interdisciplinary Journal of Philosophy 62 (9-10):1008-1032.
    ABSTRACTThis essay argues that in spite of the powerful arguments by Kolodny and Broome there is a reason to be rational. The suggested reason to be rational is that if an agent complies with ratio...
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  • Inference to the Best explanation.Peter Lipton - 2004 - In Martin Curd & Stathis Psillos (eds.), The Routledge Companion to Philosophy of Science. Routledge. pp. 193.
    Science depends on judgments of the bearing of evidence on theory. Scientists must judge whether an observation or the result of an experiment supports, disconfirms, or is simply irrelevant to a given hypothesis. Similarly, scientists may judge that, given all the available evidence, a hypothesis ought to be accepted as correct or nearly so, rejected as false, or neither. Occasionally, these evidential judgments can be made on deductive grounds. If an experimental result strictly contradicts a hypothesis, then the truth of (...)
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  • Contextualism, explanation and the social sciences.Harold Kincaid - 2004 - Philosophical Explorations 7 (3):201 – 218.
    Debates about explanation in the social sciences often proceed without any clear idea what an 'account' of explanation should do. In this paper I take a stance - what I will call contextualism - that denies there are purely formal and conceptual constraints on explanation and takes standards of explanation to be substantive empirical claims, paradigmatically claims about causation. I then use this standpoint to argue for position on issues in the philosophy of social science concerning reduction, idealized models, social (...)
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  • The third contender: A critical examination of the dynamicist theory of cognition.Chris Eliasmith - 1996 - Philosophical Psychology 9 (4):441-63.
    In a recent series of publications, dynamicist researchers have proposed a new conception of cognitive functioning. This conception is intended to replace the currently dominant theories of connectionism and symbolicism. The dynamicist approach to cognitive modeling employs concepts developed in the mathematical field of dynamical systems theory. They claim that cognitive models should be embedded, low-dimensional, complex, described by coupled differential equations, and non-representational. In this paper I begin with a short description of the dynamicist project and its role as (...)
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  • Explanation and Understanding through Scientific Models.Richard David-Rus - 2009 - Dissertation, University Munich
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  • A verisimilitudinarian analysis of the Linda paradox.Gustavo Cevolani, Vincenzo Crupi & Roberto Festa - 2012 - VII Conference of the Spanish Society for Logic, Methodology and Philosphy of Science.
    The Linda paradox is a key topic in current debates on the rationality of human reasoning and its limitations. We present a novel analysis of this paradox, based on the notion of verisimilitude as studied in the philosophy of science. The comparison with an alternative analysis based on probabilistic confirmation suggests how to overcome some problems of our account by introducing an adequately defined notion of verisimilitudinarian confirmation.
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