Germane Conflicts: Desirable Properties for Localising Inconsistency

Abstract

Inconsistency is a common problem in knowledge, and so there is a need to analyse it. Inconsistency measures assess its severity, but there is a more basic question: "where is the inconsistency?". Typically, not all subsets of a knowledgebase are causing the inconsistency, and minimal inconsistent sets have been the standard way to localise the germane ones, even though there are shortcomings in some scenarios. Recently, ⋆-conflicts were proposed as a more suitable definition to localise inconsistency when considering a method to repair it. But in general there is no way to tell what is a sensible definition to capture the germane conflicts. This work provides a set of desirable properties to assess definitions for germane conflicts. Also, a new conflict definition, based on substitution, is presented and evaluated via the proposed properties, and the related computational complexity is analysed.

Cite

Text

De Bona and Hunter. "Germane Conflicts: Desirable Properties for Localising Inconsistency." AAAI Conference on Artificial Intelligence, 2025. doi:10.1609/AAAI.V39I14.33627

Markdown

[De Bona and Hunter. "Germane Conflicts: Desirable Properties for Localising Inconsistency." AAAI Conference on Artificial Intelligence, 2025.](https://mlanthology.org/aaai/2025/bona2025aaai-germane/) doi:10.1609/AAAI.V39I14.33627

BibTeX

@inproceedings{bona2025aaai-germane,
  title     = {{Germane Conflicts: Desirable Properties for Localising Inconsistency}},
  author    = {De Bona, Glauber and Hunter, Anthony},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2025},
  pages     = {14840-14847},
  doi       = {10.1609/AAAI.V39I14.33627},
  url       = {https://mlanthology.org/aaai/2025/bona2025aaai-germane/}
}