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, 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: |
05 Dec 2022 15:11 |
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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