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Christoph Beierle

4 accepted papers

2025

Generalized Safe Conditional Syntax Splitting of Belief Bases

IJCAI 2025

Splitting techniques in knowledge representation help focus on relevant parts of a belief base and reduce the complexity of reasoning generally. In this paper, we propose a generalization of safe conditional syntax splittings that broadens the applicability of splitting postulates for inductive infe

Cited by 0SourcePDFScholar
2023

Conditional Syntax Splitting for Non-monotonic Inference Operators

AAAI 2023technical

Syntax splitting is a property of inductive inference operators that ensures we can restrict our attention to parts of the conditional belief base that share atoms with a given query. To apply syntax splitting, a conditional belief base needs to consist of syntactically disjoint conditionals. This r…

Cited by 22SourcePDFScholar
2021

InfOCF-Web: An Online Tool for Nonmonotonic Reasoning with Conditionals and Ranking Functions

IJCAI 2021poster

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…

Cited by 23SourcePDFScholar