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Meliha Sezgin
Meliha Sezgin
Verified email at tu-dortmund.de
Title
Cited by
Cited by
Year
A kinematics principle for iterated revision
G Kern-Isberner, M Sezgin, C Beierle
Artificial Intelligence 314, 103827, 2023
72023
Ranking kinematics for revising by contextual information
M Sezgin, G Kern-Isberner, C Beierle
Annals of Mathematics and Artificial Intelligence 89 (10), 1101-1131, 2021
52021
Generalized ranking kinematics for iterated belief revision
M Sezgin, G Kern-Isberner
The Thirty-Third International Flairs Conference, 2020
42020
Splitting techniques for conditional belief bases in the context of c-representations
M Wilhelm, M Sezgin, G Kern-Isberner, J Haldimann, C Beierle, ...
European Conference on Logics in Artificial Intelligence, 462-477, 2023
32023
System Z for conditional belief bases with positive and negative information
M Sezgin, G Kern-Isberner
The International FLAIRS Conference Proceedings 34, 2021
32021
Inductive reasoning with difference-making conditionals
M Sezgin, G Kern-Isberner, H Rott
NMR 2020-18th International Workshop on Non-Monotonic Reasoning, 83-92, 2020
32020
Revision by Comparison for Ranking Functions.
M Sezgin, G Kern-Isberner
IJCAI, 2734-2740, 2022
22022
Implementing bounded revision via lexicographic revision and C-revision
M Sezgin, G Kern-Isberner
Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 6525-6532, 2023
12023
A conditional perspective of belief revision
M Sezgin
Dortmund University, Germany, 2023
2023
Merging Conditional Beliefs: Approaches Based on Syntax and Semantic
M Sezgin, G Kern-Isberner
19 th International Workshop on Non-Monotonic Reasoning, 275, 2021
2021
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Articles 1–10