Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Steven Kutsch

dblp:178/8922 · DBLP profile ↗
← Back
11ranked-venue papers
3as first author
3since 2021 · last 2021
0000-0003-1670-737XORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 11 · 3 first-author · 3 since 2021Graphics, computer vision, multimedia, augmented reality and games · 3 · 1 first-author · 1 since 2021Theory of computation · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Knowledge representation and reasoning · 100%
Theoretical computer science
2 papers
Logic in computer science · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
nonmonotonic reasoning
0.722021
InfOCF-Web: An Online Tool for Nonmonotonic Reasoning with Conditionals and Ranking Functions · IJCAI 2021
Properties and interrelationships of skeptical, weakly skeptical, and credulous inference induced by classes of minimal models · Artif. Intell. 2021
Knowledge, reasoning and agents › Knowledge representation and reasoning › logic-based reasoning
conditional reasoning
0.512021
InfOCF-Web: An Online Tool for Nonmonotonic Reasoning with Conditionals and Ranking Functions · IJCAI 2021
Knowledge, reasoning and agents › Knowledge representation and reasoning › nonmonotonic reasoning
ranking functions
0.512021
InfOCF-Web: An Online Tool for Nonmonotonic Reasoning with Conditionals and Ranking Functions · IJCAI 2021
Logic in computer science
nonmonotonic reasoning
0.512021
Properties and interrelationships of skeptical, weakly skeptical, and credulous inference induced by classes of minimal models · Artif. Intell. 2021

Methods — techniques the papers use, named apart from their topics

semantics of inference relations · 1.0ranking model computation · 1.0model theory · 1.0c-representation · 1.0
YearPublicationVenuePosition
2021 InfOCF-Web: An Online Tool for Nonmonotonic Reasoning with Conditionals and Ranking Functions
abstract
InfOCF-Web provides implementations of system P and system Z inference, and of inference relations based on c-representation with respect to various inference modes and different classes of minimal models. It has an easy-to-use online interface for computing ranking models of a conditional knowledge R, and for answering queries and comparing inference results of nonmonotonic inference relations induced by R.
Steven Kutsch, Christoph Beierle
IJCAI1
2021 Properties and interrelationships of skeptical, weakly skeptical, and credulous inference induced by classes of minimal models
Christoph Beierle, Christian Eichhorn 0001, Gabriele Kern-Isberner, Steven Kutsch
Artif. Intell.4
2021 Semantic classification of qualitative conditionals and calculating closures of nonmonotonic inference relations
Steven Kutsch, Christoph Beierle
Int. J. Approx. Reason.1
2019 On the Antecedent Normal Form of Conditional Knowledge Bases
Christoph Beierle, Steven Kutsch
ECSQARU2
2019 Computation of Closures of Nonmonotonic Inference Relations Induced by Conditional Knowledge Bases
Steven Kutsch, Christoph Beierle
ECSQARU1
2019 Systematic Generation of Conditional Knowledge Bases up to Renaming and Equivalence
Christoph Beierle, Steven Kutsch
JELIA2
2019 Computation and comparison of nonmonotonic skeptical inference relations induced by sets of ranking models for the realization of intelligent agents
Christoph Beierle, Steven Kutsch
Appl. Intell.2
2017 Comparison of Inference Relations Defined over Different Sets of Ranking Functions
Christoph Beierle, Steven Kutsch
ECSQARU2
2017 Regular and Sufficient Bounds of Finite Domain Constraints for Skeptical C-Inference
Christoph Beierle, Steven Kutsch
IEA/AIE (1)2
2017 System ZFO: Default reasoning with system Z-like ranking functions for unary first-order conditional knowledge bases
Christoph Beierle, Tobias Falke, Steven Kutsch, Gabriele Kern-Isberner
Int. J. Approx. Reason.3
2016 Skeptical, Weakly Skeptical, and Credulous Inference Based on Preferred Ranking Functions
abstract
While the axiomatic system P is an important standard for plausible nonmonotonic reasoning, inference relations obtained from system Z or from c-representations have been designed which go beyond system P. In this paper, we propose the new concept of weakly skeptical inference that properly extends the recently introduced skeptical c-inference, but avoids disadvantages of a too liberal credulous inference. We extend the concepts of skeptical, weakly skeptical, and credulous c-inference by taking preferred models obtained from different minimality criteria into account. We illustrate the usefulness of the obtained inference relations, show that they fulfill various desirable properties, and elaborate on their interrelationships.
Christoph Beierle, Christian Eichhorn 0001, Gabriele Kern-Isberner, Steven Kutsch
ECAI4