Meta-Level Control through Fault Detection and Diagnosis,

Abstract

Control strategies in most complex problem-solving systems, though highly parameterized, are not adaptive to the characteristics of the particular task being solved. If the characteristics of the task are a typical, a fixed control strategy may cause incorrect or inefficient processing. This document presents an approach for adapting the control strategy by introducing a meta-level control component into the problem-solving architecture. This meta-level control component is based on the paradigm of Fault Detection/Diagnosis. The authors presentation will concentrate on modeling the problem-solving system and on the inference techniques necessary to use this model for diagnosis. They feel that meta-level control based on the Fault Detection/Diagnosis paradigm represents a new approach to introducing more sophisticated control into a problem-solving system. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 30, 1984
Accession Number
ADA149064

Entities

People

  • E. Hudlicka
  • V. R. Lesser

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Databases
  • Detection
  • Detectors
  • Electrical Engineering
  • Expert Systems
  • Hypotheses
  • Information Science
  • Language
  • Natural Languages
  • Ratings
  • Reasoning
  • Scheduling (Production)
  • Tracks
  • Transitions
  • Vehicle Tracks
  • Vehicles

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Fault Tolerant Diagnosis of Black and White Balloon Isolation Tests Using ¥.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms