Representing Uncertainties Using Bayesian Networks

Abstract

This report demonstrates the application of Bayesian networks for modelling and reasoning about uncertainties. A scenario for naval anti-surface warfare is constructed and Bayesian networks are used to represent and update uncertainties encountered in the process of situation assessment. Concepts from information theory are used to provide a measure of uncertainty and understand its flow in a Bayesian network. This in turn yields analytical methods to formulate various effectiveness measures.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1999
Accession Number
ADA375827

Entities

People

  • Balaram Das

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Bayesian Networks
  • Cognition
  • Command And Control
  • Computational Science
  • Detection
  • Detectors
  • Information Systems
  • Information Theory
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Random Variables
  • Reasoning
  • Reconnaissance
  • Surface Warfare
  • Warfare

Readers

  • Artificial Intelligence
  • Computational Modeling and Simulation

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference