Authors: Ognjanović, Zoran 
Savić, Nenad
Studer, Thomas
Title: Justification logic with approximate conditional probabilities
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 10445 LNCS
First page: 681
Last page: 686
Conference: 6th International Workshop Logic, Rationality, and Interaction, LORI 2017, Sapporo, Japan, September 11–14, 2017, A. Baltag, J. Seligman, T. Yamada (Eds.)
Issue Date: 1-Jan-2017
Rank: M33
ISBN: 978-3-662-55665-8
ISSN: 0302-9743
DOI: 10.1007/978-3-662-55665-8_52
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, CPJ, which extends justification logic and supports non-monotonic reasoning with and about evidences.
Publisher: Springer Link
Project: Representations of logical structures and formal languages and their application in computing 
Development of new information and communication technologies, based on advanced mathematical methods, with applications in medicine, telecommunications, power systems, protection of national heritage and education 
SNSF, project 200021 165549

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