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  1. Artificial explanations: the epistemological interpretation of explanation in AI.Andrés Páez - 2009 - Synthese 170 (1):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 (...)
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  • Lost in translation: Language independence in propositional logic – application to belief change.Pierre Marquis & Nicolas Schwind - 2014 - Artificial Intelligence 206 (C):1-24.
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  • Descriptor Revision: Belief Change Through Direct Choice.Sven Ove Hansson - 2017 - Cham, Switzerland: Springer Verlag.
    This book provides a critical examination of how the choice of what to believe is represented in the standard model of belief change. In particular the use of possible worlds and infinite remainders as objects of choice is critically examined. Descriptors are introduced as a versatile tool for expressing the success conditions of belief change, addressing both local and global descriptor revision. The book presents dynamic descriptors such as Ramsey descriptors that convey how an agent’s beliefs tend to be changed (...)
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