Conditional Syntax Splitting for Non-monotonic Inference Operators
Jesse Heyninck, Gabriele Kern-Isberner, Thomas Andreas Meyer, Jonas Philipp Haldimann, Christoph Beierle
摘要
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 requirement is often too strong in practice, as conditionals might share atoms. In this paper we introduce the concept of conditional syntax splitting, inspired by the notion of conditional independence as known from probability theory. We show that lexicographic inference and system W satisfy conditional syntax splitting, and connect conditional syntax splitting to several known properties from the literature on non-monotonic reasoning, including the drowning effect.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper1
问问它们各自怎么用它它引用的顶会 Paper1
相关 Paper
- Focused Inference and System PMarco Wilhelm, Gabriele Kern-IsbernerAAAI 2021 · 被引用 2 次
- Barendregt Convenes with Knaster and Tarski: Strong Rule Induction for Syntax with BindingsJan van Brügge, James McKinna, Andrei Popescu, Dmitriy TraytelPOPL 2025 · 被引用 2 次
- Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro InuiACL 2020 · 被引用 34 次
- Splitting Answer Set Programs with Respect to Intensionality StatementsJorge Fandinno, Yuliya LierlerAAAI 2023 · 被引用 1 次
- Lilac: A Modal Separation Logic for Conditional ProbabilityJohn M. Li, Amal Ahmed, Steven HoltzenPLDI 2023 · 被引用 22 次
