English

A Revision-Based Approach to Resolving Conflicting Information

Artificial Intelligence 2012-07-09 v1

Abstract

In this paper, we propose a revision-based approach for conflict resolution by generalizing the Disjunctive Maxi-Adjustment (DMA) approach (Benferhat et al. 2004). Revision operators can be classified into two different families: the model-based ones and the formula-based ones. So the revision-based approach has two different versions according to which family of revision operators is chosen. Two particular revision operators are considered, one is the Dalal's revision operator, which is a model-based revision operator, and the other is the cardinality-maximal based revision operator, which is a formulabased revision operator. When the Dalal's revision operator is chosen, the revision-based approach is independent of the syntactic form in each stratum and it captures some notion of minimal change. When the cardinalitymaximal based revision operator is chosen, the revision-based approach is equivalent to the DMA approach. We also show that both approaches are computationally easier than the DMA approach.

Cite

@article{arxiv.1207.1397,
  title  = {A Revision-Based Approach to Resolving Conflicting Information},
  author = {Guilin Qi and Weiru Liu and David A. Bell},
  journal= {arXiv preprint arXiv:1207.1397},
  year   = {2012}
}

Comments

Appears in Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI2005)

R2 v1 2026-06-21T21:31:23.272Z