Local Consistency and Junction Tree for Diagnosis of Discrete-Event Systems

  • Authors:
  • Priscilla Kan John;Alban Grastien

  • Affiliations:
  • NICTA and Australian National University, priscilla.kanjohn@anu.edu.au;NICTA and Australian National University, alban.grastien@nicta.com.au

  • Venue:
  • Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

We extend the decentralised/distributed approach of diagnosis of discrete-event systems modeled using automata. The goal is to avoid computing a global diagnosis, which is expensive, and to perform local diagnoses instead. To still ensure global consistency, we transform the topology of the system into a junction tree where each vertex represents a subsystem. Local consistency between the diagnoses of these subsystems ensures global consistency due to the tree structure. This technique will work best for systems whose natural structure is close to a tree structure, as the generated automata will be of reasonable size.