Abstract
The importance of logics with approximate conditional probabilities is reflected by the fact that they can model non-monotonic reasoning. We introduce a new logic of this kind, \(\mathsf {CPJ}\), which extends justification logic and supports non-monotonic reasoning with and about evidences.
Z. Ognjanović—Supported by the Ministry of education, science and technological development grants 174026 and III44006.
N. Savić—Supported by the SNSF project 200021_165549 Justifications and non-classical reasoning.
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Ognjanović, Z., Savić, N., Studer, T. (2017). Justification Logic with Approximate Conditional Probabilities. In: Baltag, A., Seligman, J., Yamada, T. (eds) Logic, Rationality, and Interaction. LORI 2017. Lecture Notes in Computer Science(), vol 10455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-55665-8_52
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DOI: https://doi.org/10.1007/978-3-662-55665-8_52
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