Qiana: A First-Order Formalism to Quantify over Contexts and Formulas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We introduce Qiana, a logic framework for reasoning on formulas that are true only in specific contexts. In Qiana, it is possible to quantify over both formulas and contexts to express, e.g., that “everyone knows everything Alice says”. Qiana also permits paraconsistent logics within contexts, so that contexts can contain contradictions. Furthermore, Qiana is based on first-order logic, and is finitely axiomatizable, so that Qiana theories are compatible with pre-existing first-order logic theorem provers.

Original languageEnglish
Title of host publicationProceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, KR 2024
EditorsPierre Marquis, Pierre Marquis, Magdalena Ortiz, Maurice Pagnucco
PublisherAssociation for the Advancement of Artificial Intelligence
Pages295-305
Number of pages11
ISBN (Electronic)9781956792058
Publication statusPublished - 1 Jan 2024
Event21st International Conference on Principles of Knowledge Representation and Reasoning, KR 2024 - Hanoi, Viet Nam
Duration: 2 Nov 20248 Nov 2024

Publication series

NameProceedings of the International Conference on Knowledge Representation and Reasoning
ISSN (Print)2334-1025
ISSN (Electronic)2334-1033

Conference

Conference21st International Conference on Principles of Knowledge Representation and Reasoning, KR 2024
Country/TerritoryViet Nam
CityHanoi
Period2/11/248/11/24

Fingerprint

Dive into the research topics of 'Qiana: A First-Order Formalism to Quantify over Contexts and Formulas'. Together they form a unique fingerprint.

Cite this