Predicting the Performance of Distributed Knowledge-Based Systems: A Modeling Approach,

Abstract

A model of a distributed knowledge-based system is presented. The model captures the features specific to those systems, such as alternative paths to the solution utilization of inexact and/or incomplete knowledge and data, dynamic task creation, complex subproblem dependencies and focusing aspect of problem solving. The model is applied to the analysis of communication policies in a distributed interpretation system. The result of the analysis is the best policy for the given environment and system conditions. Another use of the model as a real-time simulation tool is suggested.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1984
Accession Number
ADA149021

Entities

People

  • Julie A. Pavlin

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Artificial Intelligence
  • Complex Systems
  • Computer Programs
  • Computers
  • Control Theory
  • Environment
  • Information Science
  • Interdisciplinary Science
  • Knowledge Based Systems
  • Massachusetts
  • Military Research
  • Petri Nets
  • Simulations
  • Transitions
  • Two Dimensional
  • Volume

Fields of Study

  • Computer science
  • Engineering

Readers

  • Artificial Intelligence
  • Computer Networking