Physical Sciences › Computer Science › Artificial Intelligence
Logic, Reasoning, and Knowledge
169 indexierte Paper
Die unter diesem Thema zusammengefassten Arbeiten untersuchen, wie Systeme der künstlichen Intelligenz Regeln, Schlussfolgerungen und Wissen auf formale Weise manipulieren können. Sie behandeln Fragen wie die Validierung logischer Constraints (OWL, SHACL), die Transformation von Abfragen (Horn-ALCHI, GQL) oder den Umgang mit unvollständigen oder widersprüchlichen Informationen, wobei sie auf theoretische Rahmenwerke wie automatisches Beweisen, Ontologien oder probabilistische Verteilungen zurückgreifen. Die Herausforderung besteht darin, robuste Schlussfolgerungen zu strukturieren - sei es durch Abduktion, Diagnose oder die Bewahrung logischer Eigenschaften bei Transformationen - , während Konzepte wie Unsicherheit oder metaphysische Annahmen, die den Modellen zugrunde liegen, integriert werden.
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