Application of Artificial Intelligence in Decision Making in Mine Countermeasures.

Abstract

A number of analytic techniques used in Artificial Intelligence are examined in the context of decision making in mine countermeasures. Attention is directed at five major techniques, involving statistical inference, probabilistic inference, evidential reasoning, fuzzy logic and artificial neural networks. In the cases of statistical inference and evidential reasoning, solutions to appropriate problems are described. Eleven other techniques are dealt with more briefly, in most cases with worked examples of appropriate naval application. The main conclusion reached is that, in view of the probable shortage of accurate information under operational conditions, evidential reasoning and fuzzy logic are likely to be the most appropriate means for presenting relevant data to decision makers, and that artificial neural networks will be useful for representing complicated or empirical relationships between observed factors.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1995
Accession Number
ADA307260

Entities

People

  • D. R. Skinner
  • K. K. Benke
  • T. M. Mansell

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Computational Science
  • Computers
  • Data Processing
  • Data Science
  • Detection
  • Detectors
  • Fuzzy Logic
  • Fuzzy Sets
  • Information Processing
  • Information Science
  • Neural Networks
  • Psychology
  • Reasoning
  • Set Theory
  • Statistical Algorithms

Readers

  • Military History / Militaries and War Studies
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks