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Books and Theses
- 2021
[b1]Steven Kutsch:
Knowledge representation and inductive reasoning using conditional logic and sets of ranking functions. University of Hagen, Germany, Diss. Artif. Intell. 350, IOS Press 2021, ISBN 978-3-89838-760-6, pp. 1-172
Journal Articles
- 2021
- [j7]Christoph Beierle, Christian Eichhorn, Gabriele Kern-Isberner, Steven Kutsch
:
Properties and interrelationships of skeptical, weakly skeptical, and credulous inference induced by classes of minimal models. Artif. Intell. 297: 103489 (2021) - [j6]Steven Kutsch, Christoph Beierle:
Semantic classification of qualitative conditionals and calculating closures of nonmonotonic inference relations. Int. J. Approx. Reason. 130: 297-313 (2021) - 2019
- [j5]Christoph Beierle, Steven Kutsch, Kai Sauerwald:
Compilation of static and evolving conditional knowledge bases for computing induced nonmonotonic inference relations. Ann. Math. Artif. Intell. 87(1-2): 5-41 (2019) - [j4]Christoph Beierle, Steven Kutsch:
Computation and comparison of nonmonotonic skeptical inference relations induced by sets of ranking models for the realization of intelligent agents. Appl. Intell. 49(1): 28-43 (2019) - 2018
- [j3]Christoph Beierle, Christian Eichhorn, Gabriele Kern-Isberner, Steven Kutsch:
Properties of skeptical c-inference for conditional knowledge bases and its realization as a constraint satisfaction problem. Ann. Math. Artif. Intell. 83(3-4): 247-275 (2018) - 2017
- [j2]Christoph Beierle, Tobias Falke, Steven Kutsch, Gabriele Kern-Isberner:
System ZFO: Default reasoning with system Z-like ranking functions for unary first-order conditional knowledge bases. Int. J. Approx. Reason. 90: 120-143 (2017) - [j1]Christoph Beierle, Christian Eichhorn, Steven Kutsch:
A Practical Comparison of Qualitative Inferences with Preferred Ranking Models. Künstliche Intell. 31(1): 41-52 (2017)
Conference and Workshop Papers
- 2021
- [c14]Christoph Beierle, Jonas Haldimann, Steven Kutsch:
A Complete Map of Conditional Knowledge Bases in Different Normal Forms and Their Induced System P Inference Relations Over Small Signatures. FLAIRS 2021 - [c13]Steven Kutsch, Christoph Beierle:
InfOCF-Web: An Online Tool for Nonmonotonic Reasoning with Conditionals and Ranking Functions. IJCAI 2021: 4996-4999 - 2019
- [c12]Christoph Beierle, Steven Kutsch:
On the Antecedent Normal Form of Conditional Knowledge Bases. ECSQARU 2019: 175-186 - [c11]Steven Kutsch, Christoph Beierle:
Computation of Closures of Nonmonotonic Inference Relations Induced by Conditional Knowledge Bases. ECSQARU 2019: 226-237 - [c10]Christoph Beierle, Steven Kutsch, Henning Breuers:
On Rational Monotony and Weak Rational Monotony for Inference Relations Induced by Sets of Minimal C-Representations. FLAIRS 2019: 458-463 - [c9]Christoph Beierle, Steven Kutsch:
Systematic Generation of Conditional Knowledge Bases up to Renaming and Equivalence. JELIA 2019: 279-286 - [c8]Steven Kutsch:
InfOCF-Lib: A Java Library for OCF-based Conditional Inference. DKB/KIK@KI 2019: 47-58 - 2018
- [c7]Christoph Beierle, Steven Kutsch, Gabriele Kern-Isberner:
From Concepts in Non-Monotonic Reasoning to High-Level Implementations Using Abstract State Machines and Functional Programming. Models: Concepts, Theory, Logic, Reasoning and Semantics 2018: 286-310 - [c6]Christoph Beierle, Steven Kutsch, Kai Sauerwald:
Compilation of Conditional Knowledge Bases for Computing C-Inference Relations. FoIKS 2018: 34-54 - 2017
- [c5]Christoph Beierle, Steven Kutsch:
Comparison of Inference Relations Defined over Different Sets of Ranking Functions. ECSQARU 2017: 225-235 - [c4]Christoph Beierle, Steven Kutsch, Andreas Obergrusberger:
On the Interrelationships Among C-Inference Relations Based on Preferred Models for Sets of Default Rules. FLAIRS 2017: 724-729 - [c3]Christoph Beierle, Steven Kutsch:
Regular and Sufficient Bounds of Finite Domain Constraints for Skeptical C-Inference. IEA/AIE (1) 2017: 477-487 - 2016
- [c2]Christoph Beierle, Christian Eichhorn, Gabriele Kern-Isberner, Steven Kutsch:
Skeptical, Weakly Skeptical, and Credulous Inference Based on Preferred Ranking Functions. ECAI 2016: 1149-1157 - [c1]Christoph Beierle, Tobias Falke, Steven Kutsch, Gabriele Kern-Isberner:
Minimal Tolerance Pairs for System Z-Like Ranking Functions for First-Order Conditional Knowledge Bases. FLAIRS 2016: 626-631
Coauthor Index
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