Justification Logic with Approximate Conditional Probabilities

Ognjanović, Zoran; Savic, Nenad; Studer, Thomas (2017). Justification Logic with Approximate Conditional Probabilities. In: LORI 2017: Logic, Rationality, and Interaction. Lecture Notes in Computer Science: Vol. 10455 (pp. 681-686). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/978-3-662-55665-8_52

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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.

Item Type:

Book Section (Book Chapter)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF) > Logic and Theory Group (LTG)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Savic, Nenad and Studer, Thomas

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

ISBN:

978-3-662-55664-1

Series:

Lecture Notes in Computer Science

Publisher:

Springer Berlin Heidelberg

Language:

English

Submitter:

Lukas Jaun

Date Deposited:

20 Apr 2018 09:05

Last Modified:

20 Apr 2018 09:05

Publisher DOI:

10.1007/978-3-662-55665-8_52

BORIS DOI:

10.7892/boris.112768

URI:

https://boris.unibe.ch/id/eprint/112768

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