Eric Raidl

PD Dr. Eric Raidl untersucht die Erkenntnistheorie und Logik von maschinellem Lernen in der Wissenschaft und erforscht dabei, welche Veränderungen das in ML-Systemen dargestellte Wissen (oder der Glaube) z.B. im Lichte neuer Erkenntnisse erfährt. Er ist Projektleiter des AITE-Projekts.

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Aktuelle Publikationen

Raidl, E. (2021). Definable conditionals, Topoi, 40, 87-105. [https://link.springer.com/article/10.1007/s11245-020-09704-3]

Raidl, E. (2021). Three Conditionals: Contraposition, Difference-making and Dependency, Logica Yearbook 2020, 201-217. [https://www.collegepublications.co.uk/logica/?00034]

Raidl, E. (2021). Strengthened conditionals, in Context, Conflict and Reasoning. Logic in Asia: Studia Logica Library (Liao, B., Wang, Y., eds.), Springer, Singapore, 139-155. [https://link.springer.com/chapter/10.1007/978-981-15-7134-3_11]

Raidl, E., Iacona, A., Crupi, V. (2021). The logic of the evidential conditional, Review of Symbolic Logic, online first. [https://www.cambridge.org/core/journals/review-of-symbolic-logic/article/logic-of-the-evidential-conditional/4705B434E11CB191145DF631DEEF5693]

Raidl, E. (2020). Open-minded orthodox Bayesianism by epsilon-conditionalization, The British Journal for the Philosophy of Science, 71(1), 139-176 [https://www.journals.uchicago.edu/doi/10.1093/bjps/axy075]

Raidl, E., Spohn, W. (2020). An Accuracy Argument in Favor of Ranking Theory, Journal of Philosophical Logic, 49, 283-313. [https://link.springer.com/article/10.1007/s10992-019-09518-8]

Raidl, E. (2019). Lewis’ Triviality for Quasi Probabilities, Journal of Logic, Language and Information, 28,515–549. [https://doi.org/10.1007/s10849-019-09289-0 ]


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