Pietsch, Wolfgang (2017) A Causal Approach to Analogy. [Preprint]
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Abstract
Analogical reasoning addresses the question how evidence from various phenomena can be amalgamated and made relevant for theory development and prediction. In the first part of my contribution, I review some influential accounts of analogical reasoning, both historical and contemporary, focusing in particular on Keynes, Carnap, Hesse, and more recently Bartha. In the second part, I sketch a general framework. To this purpose, a distinction between a predictive and a conceptual type of analogical reasoning is introduced. I then take up a common intuition according to which (predictive) analogical inferences hold if the differences between source and target concern only irrelevant circumstances. I attempt to make this idea more precise by addressing possible objections and in particular by specifying a notion of causal irrelevance based on difference making in homogeneous contexts.
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Item Type: | Preprint | ||||||
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Keywords: | analogy, induction, Keynes, Carnap, Hesse, Bartha, difference making, causal irrelevance | ||||||
Subjects: | General Issues > Data General Issues > Causation Specific Sciences > Cognitive Science Specific Sciences > Artificial Intelligence General Issues > Confirmation/Induction General Issues > History of Philosophy of Science Specific Sciences > Probability/Statistics |
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Depositing User: | Wolfgang Pietsch | ||||||
Date Deposited: | 21 Apr 2017 13:32 | ||||||
Last Modified: | 21 Apr 2017 13:32 | ||||||
Item ID: | 12998 | ||||||
Subjects: | General Issues > Data General Issues > Causation Specific Sciences > Cognitive Science Specific Sciences > Artificial Intelligence General Issues > Confirmation/Induction General Issues > History of Philosophy of Science Specific Sciences > Probability/Statistics |
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Date: | 15 March 2017 | ||||||
URI: | https://philsci-archive.pitt.edu/id/eprint/12998 |
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