A Dataset and Experimental Evaluation of a Parallel Conflict Detection Solution for Model-Based Diagnosis

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Date

2025-10

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journal article

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Investigación
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Authors

Cabezas-Quinto, Jessica Janina, Vidal-Silva, Cristian, Serrano-Malebrán, Jorge, Márquez, Nicolás

Publisher

Multidisciplinary Digital Publishing Institute (MDPI)

URI

https://repositorio.udla.cl/handle/udla/2129

DOI

https://doi.org/10.3390/data10090139

Keywords

parallel computating, conflict detection, constraint satisfaction problems, diagnosis, QuickXPlain, benchmarking, reproducible evaluation, minimal conflict sets, open dataset

Citation

Cabezas-Quinto, Jessica Janina; Vidal-Silva, Cristian; Serrano-Malebrán, Jorge; Márquez, Nicolás (2025). A Dataset and Experimental Evaluation of a Parallel Conflict Detection Solution for Model-Based Diagnosis. Data, 10(9), 139. https://doi.org/10.3390/data10090139

Abstract

This article presents a dataset and experimental evaluation of a parallelized variant of Junker’s QuickXPlain algorithm, designed to efficiently compute minimal conflict sets in constraint-based diagn...

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Creative Commons Attribution 4.0 International
Except where otherwised noted, this item's license is described as Creative Commons Attribution 4.0 International
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