Possible Conflicts, ARRs, and Conflicts

Abstract

Consistency-based diagnosis is the most widely used approach to model-based diagnosis within the Artificial Intelligence community. It is usually carried out through an iterative cycle of behavior prediction, conflict detection, and candidate generation and refinement. Many approaches to consistency-based diagnosis have relied on some kind of on-line dependency-recording mechanism for conflict calculation. These techniques have had different problems, specially when applied to dynamic systems. Recently, off-line compilation of dependencies has been established as a suitable alternative approach. In this work we compare one compilation technique, based on the possible conflict concept, with results obtained with the classical on-line dependency recording engine as in GDE. Moreover, we compare possible conflicts with another compilation technique coming from the FDI community, which is based on analytical redundancy relations. Finally, we study the relationship between possible conflicts, analytical redundancy relations, and conflicts.

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Document Details

Document Type
Technical Report
Publication Date
May 04, 2002
Accession Number
ADP012703

Entities

People

  • Belarmino P. Junquera
  • Carlos A. Gonzalez

Organizations

  • University of Valladolid

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Automotive Industry
  • Communities
  • Complex Systems
  • Computations
  • Consistency
  • Control Systems Engineering
  • Control Theory
  • Detection
  • Engineering
  • Engines
  • Equations
  • Expert Systems
  • Information Processing
  • Simultaneous Equations
  • Workshops

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Fault Tolerant Diagnosis of Black and White Balloon Isolation Tests Using ¥.
  • Systems Analysis and Design

Technology Areas

  • AI & ML