Confirmation based on analogical inference: Bayes meets Jeffrey


Authors
Alexander Gebharter
University of Groningen
Christian J. Feldbacher-Escamilla
Heinrich Heine University Düsseldorf
Abstract
Certain hypotheses cannot be directly confirmed for theoretical, practical, or moral reasons. For some of these hypotheses, however, there might be a workaround: confirmation based on analogical reasoning. In this paper we take up Dardashti, Hartmann, Thébault, and Winsberg’s (in press) idea of analyzing confirmation based on analogical inference Baysian style. We identify three types of confirmation by analogy and show that Dardashti et al.’s approach can cover two of them. We then highlight possible problems with their model as a general approach to analogical inference and argue that these problems can be avoided by supplementing Bayesian update with Jeffrey conditionalization.
Keywords analogies  indirect evidence  confirmation  Jeffrey conditionalization  Bayesian networks
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Reprint years 2019
DOI 10.1017/can.2019.18
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References found in this work BETA

Grounding in the Image of Causation.Jonathan Schaffer - 2016 - Philosophical Studies 173 (1):49-100.
Causation, Prediction, and Search.Peter Spirtes, Clark Glymour & Richard Scheines - 1996 - British Journal for the Philosophy of Science 47 (1):113-123.
Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.
A Defense of Abortion.Judith Jarvis Thomson - 1971 - Philosophy and Public Affairs 1 (1):47-66.

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Citations of this work BETA

Modeling Creative Abduction Bayesian Style.Christian J. Feldbacher-Escamilla & Alexander Gebharter - 2019 - European Journal for Philosophy of Science 9 (1):9.

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