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  1. Combining probabilistic logic programming with the power of maximum entropy.Gabriele Kern-Isberner & Thomas Lukasiewicz - 2004 - Artificial Intelligence 157 (1-2):139-202.
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  • Understanding epistemic relevance.Luciano Floridi - 2008 - Erkenntnis 69 (1):69-92.
    Agents require a constant flow, and a high level of processing, of relevant semantic information, in order to interact successfully among themselves and with the environment in which they are embedded. Standard theories of information, however, are silent on the nature of epistemic relevance. In this paper, a subjectivist interpretation of epistemic relevance is developed and defended. It is based on a counterfactual and metatheoretical analysis of the degree of relevance of some semantic information i to an informee/agent a, as (...)
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  • Properties and interrelationships of skeptical, weakly skeptical, and credulous inference induced by classes of minimal models.Christoph Beierle, Christian Eichhorn, Gabriele Kern-Isberner & Steven Kutsch - 2021 - Artificial Intelligence 297 (C):103489.
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