INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

Conflict detection is relevant in various application scenarios, ranging from interactive decision-making to the diagnosis of faulty knowledge bases. Conflicts can be regarded as sets of constraints that cause an inconsistency. In many scenarios (e.g., constraint-based configuration), conflicts are repeatedly determined for the same or similar sets of constraints. This misses out on the valuable opportunity for leveraging knowledge reuse and related potential performance improvements, which are extremely important, specifically interactive constraint-based applications. In this paper, we show how to integrate knowledge reuse concepts into non-instructive conflict detection. We introduce the InformedQX algorithm, which is a reuse-aware variant of QuickXPlain. The results of a related performance analysis with the Linux-2.6.3.33 configuration knowledge base show significant improvements in terms of runtime performance compared to QuickXPlain.
Originalspracheenglisch
TitelProceedings of the 38th AAAI Conference on Artificial Intelligence
UntertitelTechnical Tracks 14
Redakteure/-innenMichael Wooldridge, Jennifer Dy, Sriraam Natarajan
Herausgeber (Verlag)AAAI Press
Seiten10616-10623
Seitenumfang8
Band38, 9
ISBN (elektronisch)978-1-57735-887-9, 1-57735-887-2
ISBN (Print)2159-5399
DOIs
PublikationsstatusVeröffentlicht - 25 März 2024
Veranstaltung38th AAAI Conference on Artificial Intelligence: AAAI 2024 - Vancouver Convention Centre - West Building, Vancouver, Kanada
Dauer: 20 Feb. 202427 Feb. 2024
https://aaai.org/aaai-conference/

Konferenz

Konferenz38th AAAI Conference on Artificial Intelligence
KurztitelAAAI'24
Land/GebietKanada
OrtVancouver
Zeitraum20/02/2427/02/24
Internetadresse

ASJC Scopus subject areas

  • Artificial intelligence

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