- Making things happen: a theory of causal explanation.James F. Woodward - 2003 - New York: Oxford University Press.details
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(1 other version)Scientific Explanation and the Causal Structure of the World.Wesley C. Salmon - 1984 - Princeton University Press.details
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Inference to the Best Explanation.Peter Lipton - 1991 - London and New York: Routledge.details
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The Scientific Image.William Demopoulos & Bas C. van Fraassen - 1982 - Philosophical Review 91 (4):603.details
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Explanation in artificial intelligence: Insights from the social sciences.Tim Miller - 2019 - Artificial Intelligence 267 (C):1-38.details
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(1 other version)Précis of Inference to the Best Explanation, 2 nd Edition.Peter Lipton - 2007 - Philosophy and Phenomenological Research 74 (2):421-423.details
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Causation in biology: Stability, specificity, and the choice of levels of explanation.James Woodward - 2010 - Biology and Philosophy 25 (3):287-318.details
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Dissecting explanatory power.Petri Ylikoski & Jaakko Kuorikoski - 2010 - Philosophical Studies 148 (2):201–219.details
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Explanatory Abstractions.Lina Jansson & Juha Saatsi - 2019 - British Journal for the Philosophy of Science 70 (3):817–844.details
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(1 other version)Causes and explanations: A structural-model approach. Part I: Causes.Joseph Y. Halpern & Judea Pearl - 2005 - British Journal for the Philosophy of Science 56 (4):843-887.details
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High-Level Explanation and the Interventionist’s ‘Variables Problem’.L. R. Franklin-Hall - 2016 - British Journal for the Philosophy of Science 67 (2):553-577.details
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Explanatory autonomy: the role of proportionality, stability, and conditional irrelevance.James Woodward - 2018 - Synthese 198 (1):1-29.details
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Explanatory Depth.Brad Weslake - 2010 - Philosophy of Science 77 (2):273-294.details
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Explanatory generalizations, part II: Plumbing explanatory depth.Christopher Hitchcock & James Woodward - 2003 - Noûs 37 (2):181–199.details
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(2 other versions)The explanation game: a formal framework for interpretable machine learning.David S. Watson & Luciano Floridi - 2020 - Synthese 198 (10):1–32.details
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Contrastive statements.Fred I. Dretske - 1972 - Philosophical Review 81 (4):411-437.details
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(1 other version)Causes and explanations: A structural-model approach.Judea Pearl - manuscriptdetails
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(2 other versions)The explanation game: a formal framework for interpretable machine learning.David S. Watson & Luciano Floridi - 2021 - Synthese 198 (10):9211-9242.details
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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.details
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Evaluating XAI: A comparison of rule-based and example-based explanations.Jasper van der Waa, Elisabeth Nieuwburg, Anita Cremers & Mark Neerincx - 2021 - Artificial Intelligence 291 (C):103404.details
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Stability, breadth and guidance.Thomas Blanchard, Nadya Vasilyeva & Tania Lombrozo - 2018 - Philosophical Studies 175 (9):2263-2283.details
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(2 other versions)The Explanation Game: A Formal Framework for Interpretable Machine Learning.David S. Watson & Luciano Floridi - 2021 - In Josh Cowls & Jessica Morley, The 2020 Yearbook of the Digital Ethics Lab. Springer Verlag. pp. 109-143.details
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Causes and Explanations: A Structural-Model Approach. Part II: Explanations.Joseph Y. Halpern & Judea Pearl - 2005 - British Journal for the Philosophy of Science 56 (4):889-911.details
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Peeking inside the black-box: A survey on explainable artificial intelligence (XAI).A. Adadi & M. Berrada - 2018 - IEEE Access 6.details
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Degree of explanation.Robert Northcott - 2012 - Synthese 190 (15):3087-3105.details
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A Survey of Methods for Explaining Black Box Models.Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini, Fosca Giannotti & Dino Pedreschi - 2019 - ACM Computing Surveys 51 (5):1-42.details
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