CLKR: Conditional Logic and Knowledge Representation

Author:

Beierle ChristophORCID,Haldimann JonasORCID,Schwarzer LeonORCID

Abstract

AbstractCLKR (Conditional Logic and Knowledge Representation) is an online repository of conditional logic resources for knowledge representation and reasoning. The question which entailments should follow from a conditional knowledge base consisting of a set of conditionals “If A then usually B“ is central in logic-based AI. In order to support the practical side of this question, CLKR provides various collections of conditional knowledge bases and related resources. All knowledge bases available in CLKR can be processed directly with a corresponding reasoning system like InfOCF-Web. The sets of knowledge bases include examples as they are used in the literature for illustration, application knowledge bases from different domains, and systematically generated knowledge bases for evaluating implementations of nonmonotonic reasoning. A main emphasis of the current version of CLKR is on providing collections of knowledge bases in various normal forms that have been proposed for conditional knowledge bases, e.g., conditional normal form, antecedent normal form, and renaming normal form.

Funder

FernUniversität in Hagen

Publisher

Springer Science and Business Media LLC

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An implementation of nonmonotonic reasoning with c-representations using an SMT solver;International Journal of Approximate Reasoning;2024-12

2. Non-Classical Reasoning for Contemporary AI Applications;KI - Künstliche Intelligenz;2024-07-16

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