A Bayesian Methodology for Effects Based Planning

Abstract

We present a methodology that employs Bayesian Networks in aiding Effects Based Planning. The network models the probabilistic dependencies between elements of the domain of interest in which a mission is being planned, the actions taken on those elements and the effects resulting from those actions. The model can be interrogated from the perspective of the actions, the elements of the domain or, recursively, the effects.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2006
Accession Number
ADA474204

Entities

People

  • Bert Bullen

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Bayesian Networks
  • Command And Control
  • Information Processing
  • Instructions
  • Military Planning
  • Models
  • Neural Networks
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Reasoning

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference