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(2009) Synthese 170 (1).
Artificial explanations
the epistemological interpretation of explanation in ai
Andrés Páez
pp. 131-146
In this paper I critically examine the notion of explanation used in artificial intelligence in general, and in the theory of belief revision in particular. I focus on two of the best known accounts in the literature: Pagnucco’s abductive expansion functions and Gärdenfors’ counterfactual analysis. I argue that both accounts are at odds with the way in which this notion has historically been understood in philosophy. They are also at odds with the explanatory strategies used in actual scientific practice. At the end of the paper I outline a set of desiderata for an epistemologically motivated, scientifically informed belief revision model for explanation.
Publication details
DOI: 10.1007/s11229-008-9361-3
Full citation:
Páez, A. (2009). Artificial explanations: the epistemological interpretation of explanation in ai. Synthese 170 (1), pp. 131-146.
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