20.500.12556/DKUM-96983 Testing abductions from uncertain evidence Inference to the Best Explanation (IBE) is traditionally conceived of as a rule of inference, in which one infers to the hypothesis that provides the best explanation of one’s evidence. But what if some of that evidence is uncertain?How, if at all, can the traditional conception of IBE be extended to handle this common class of cases? This paper presents a new general model for investigating rules of inference from uncertain evidence, and then applies this approach to evaluate several different ways of extending IBE to handle uncertain evidence. The model employs computer simulations in which inference rules receive rewards (penalties) for making correct (incorrect) inferences in randomly generated scenarios in which the evidence is uncertain to various de g rees. The model allows us to move beyond reliance on intuitive or historical examples in evaluating how well differ ent inf er ence rules handle cases in which the evidence is uncertain. inferences to the best explanation uncertain evidence epistemic caution evidential robustness defeasible inferences computer simulations sklepanje na najboljšo razlago nejasna dokazila spoznavna previdnost dokazilna robustnost ovrgljivo sklepanje računalniške simulacije true false true Oxford University Press Angleški jezik Slovenski jezik Znanstveno delo 2026-02-10 03:07:29 2026-03-05 14:02:50 2026-04-02 03:19:07 0000-00-00 00:00:00 2026 0 0 str. 510-531 št. 2 Letn. 76 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 2025-11-24 2025-12-26 165 267748611 10.1093/pq/pqaf104 0031-8094 RAZ_Dellsen_Finnur_2026.pdf RAZ_Dellsen_Finnur_2026.pdf 1 B366A35648F7309442344A04C6E0A40C 9790f7eed11557a9c0e0a26ff6014b96d52ca1bcdc0854b18482db189a280fee 77d68bfa-2dc7-11f1-b2eb-00155d0001a1 https://dk.um.si/Dokument.php?lang=slv&id=204973 https://doi.org/10.1093/pq/pqaf104 0 4f22c0ad-1894-11f1-b8bb-00155d580e1a https://dk.um.si/Dokument.php?lang=slv&id=204312 Filozofska fakulteta 0 0 0