Three Simulation Models of Naval Air Defense

Abstract

Naval air defense is a critical facility for ship survivability and has been subject of a number of studies. We investigate here three different approaches to modeling it with computer software. One approach focuses on the problems of information processing and communication for the air-defense team, and is good for analyzing its efficiency. Another approach focuses on the inference of the nature of observed tracks, and is based on the novel psychological theory of conceptual blending. A third approach uses an expert-systems approach that can learn from experience and be more substantially automated than the other two approaches. Each approach has its own advantages: The first provides insights for organizing and managing air-defense personnel, the second provides insights into cognitive biases in analysis that should be examined during training, and the third suggests a way to mostly automate the air-defense process to save money. This work suggests the value of multiple simulations of the same process when that process is important to understand.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA464120

Entities

People

  • Baris Ozkan
  • John E. Hiles
  • Neil C. Rowe
  • Sharif H. Calfee

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Electronic Warfare
  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aerial Warfare
  • Air Defense
  • Artificial Intelligence
  • Cognitive Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Detection
  • Detectors
  • Information Processing
  • Information Systems
  • Military Aircraft
  • Naval Warfare
  • Navy
  • Psychology
  • Radar
  • Warfare

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Economics
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy