LLM Reasoning 相关度: 8/10

Broadening the Applicability of Conditional Syntax Splitting for Reasoning from Conditional Belief Bases

Lars-Phillip Spiegel, Jonas Haldimann, Jesse Heyninck, Gabriele Kern-Isberner, Christoph Beierle
arXiv: 2604.12660v1 发布: 2026-04-14 更新: 2026-04-14

AI 摘要

论文提出了一种广义的条件语法分割方法,以增强条件信念库推理的应用范围。

主要贡献

  • 提出了广义条件语法分割的概念
  • 克服了现有分割概念的局限性
  • 引入了基于新概念的调整推理公设

方法论

通过推广安全条件语法分割,允许子库共享原子和非平凡条件,并评估流行推理算子。

原文摘要

In nonmonotonic reasoning from conditional belief bases, an inference operator satisfying syntax splitting postulates allows for taking only the relevant parts of a belief base into account, provided that the belief base splits into subbases based on disjoint signatures. Because such disjointness is rare in practice, safe conditional syntax splitting has been proposed as a generalization of syntax splitting, allowing the conditionals in the subbases to share some atoms. Recently this overlap of conditionals has been shown to be limited to trivial, self-fulfilling conditionals. In this article, we propose a generalization of safe conditional syntax splittings that broadens the applicability of splitting postulates. In contrast to safe conditional syntax splitting, our generalized notion supports syntax splittings of a belief base Δ where the subbases of Δ may share atoms and nontrivial conditionals. We illustrate how this new notion overcomes limitations of previous splitting concepts, and we identify genuine splittings, separating them from simple splittings that do not provide benefits for inductive inference from Δ. We introduce adjusted inference postulates based on our generalization of conditional syntax splitting, and we evaluate several popular inductive inference operators with respect to these postulates. Furthermore, we show that, while every inductive inference operator satisfying generalized conditional syntax splitting also satisfies conditional syntax splitting, the reverse does not hold.

标签

非单调推理 条件信念库 语法分割 逻辑推理

arXiv 分类

cs.AI