학술
기타
Hybrid MKNF with Classical Negation in the Rule Component
arXiv CS.AI
CC BY
이 매체는 공공·자유 라이선스로 본문을 직접 표시합니다.Abstract
Hybrid MKNF knowledge bases under the well-founded semantics integrate Description Logics with Logic Programming.
However, they do not support classical negation in the rule component, limiting their ability to represent explicit negative knowledge.
This limitation is particularly significant in safety-critical applications, where reasoning often requires explicit negative information rather than interpreting the absence of information as evidence of absence.
To address this issue, we introduce an extension of Hybrid MKNF that supports classical negation in the rule component.
We formally define the syntax and semantics of the extended language and present a general procedure for computing its well-founded model.
이 뉴스, 어떠셨어요?
탭 한 번으로 반응 · 로그인 불필요
관련 뉴스
관련 뉴스 제보는 로그인 후 가능합니다.
'research' 카테고리 뉴스
AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality Analytics
arXiv CS.AI
Marking the Wrong Symptoms: Evaluating LLM Watermarks in Medical Texts
arXiv CS.AI
ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models
arXiv CS.AI