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  1. Inference to the Best Explanation in Uncertain Evidential Situations.Borut Trpin & Max Pellert - 2019 - British Journal for the Philosophy of Science 70 (4):977-1001.
    It has recently been argued that a non-Bayesian probabilistic version of inference to the best explanation (IBE*) has a number of advantages over Bayesian conditionalization (Douven [2013]; Douven and Wenmackers [2017]). We investigate how IBE* could be generalized to uncertain evidential situations and formulate a novel updating rule IBE**. We then inspect how it performs in comparison to its Bayesian counterpart, Jeffrey conditionalization (JC), in a number of simulations where two agents, each updating by IBE** and JC, respectively, try to (...)
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  • A computational framework for understanding the roles of simplicity and rational support in people's behavior explanations.Alan Jern, Austin Derrow-Pinion & A. J. Piergiovanni - 2021 - Cognition 210 (C):104606.
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  • The role of explanatory considerations in updating.Igor Douven & Jonah N. Schupbach - 2015 - Cognition 142 (C):299-311.
    There is an ongoing controversy in philosophy about the connection between explanation and inference. According to Bayesians, explanatory considerations should be given weight in determining which inferences to make, if at all, only insofar as doing so is compatible with Strict Conditionalization. Explanationists, on the other hand, hold that explanatory considerations can be relevant to the question of how much confidence to invest in our hypotheses in ways which violate Strict Conditionalization. The controversy has focused on normative issues. This paper (...)
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  • The ecological rationality of explanatory reasoning.Igor Douven - 2020 - Studies in History and Philosophy of Science Part A 79:1-14.
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  • Optimizing group learning: An evolutionary computing approach.Igor Douven - 2019 - Artificial Intelligence 275 (C):235-251.
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