A Rule-Based Weapon Suggestion System for Shipboard Three Dimensional Defense

Abstract

This thesis examines the feasibility of using an expert system approach to design an intelligent Weapon Suggestion System (WSS) to assist the Weapons Department Head (WDH) on board a naval warship in making accurate and efficient decisions in critical battle situations. We have analyzed the constraints of a WSS and the performance of on board weapons. We have also reviewed the related material previously published and discussed the implementation environment in this thesis. The system is supported by the Knowledge Engineering Environment (KEE), often referred to as an expert system shell since it provides a comprehensive set of expert system building tools to facilitate the development of expert systems. The WSS receives preprocessed sensor input, determines what contacts are present, performs target analysis and correlation based upon the current tactical situation, and suggests the most effective weapon(s) to deploy against various hostile target. Simulation results have shown that the system can provide timely decision support in a time- critical combat environment.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1990
Accession Number
ADA243421

Entities

People

  • Wen-i Weng

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Defense
  • Anti-Submarine Missiles
  • Antisubmarine Warfare
  • Application Software
  • Artificial Intelligence
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Engineering
  • Expert Systems
  • Inference Engines
  • Lisp Programming Language
  • Military Applications
  • Naval Operations
  • Navy
  • Simulations

Fields of Study

  • Engineering

Readers

  • Artificial Intelligence
  • Defense Acquisition Program Management
  • Sensor Fusion and Tracking Systems.