INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems

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

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.
Original languageEnglish
Title of host publicationProceedings of the 38th AAAI Conference on Artificial Intelligence
Subtitle of host publicationTechnical Tracks 14
EditorsMichael Wooldridge, Jennifer Dy, Sriraam Natarajan
PublisherAAAI Press
Pages10616-10623
Number of pages8
Volume38, 9
ISBN (Electronic)978-1-57735-887-9, 1-57735-887-2
ISBN (Print)2159-5399
DOIs
Publication statusPublished - 25 Mar 2024
Event38th AAAI Conference on Artificial Intelligence: AAAI 2024 - Vancouver Convention Centre - West Building, Vancouver, Canada
Duration: 20 Feb 202427 Feb 2024
https://aaai.org/aaai-conference/

Conference

Conference38th AAAI Conference on Artificial Intelligence
Abbreviated titleAAAI'24
Country/TerritoryCanada
CityVancouver
Period20/02/2427/02/24
Internet address

ASJC Scopus subject areas

  • Artificial Intelligence

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