SUN-TZU: Proposal for an Agent Based Battle Staff Planning Tool For Analysis of Situation Awareness Data Anomalies

Abstract

Presentation of SUN-TZU; a proposal for an agent-based battle staff planning tool for analysis of situation awareness data anomalies. Sun-Tzu is a concept for an agent based situational awareness (SA) data base tool intended to find and highlight inconsistencies in the battle SA picture. The goal is to find inconsistencies that might cue the existence of a deception story. It is bottom-up, not top-down. Sources of inconsistency other than deception might be tactically much more valuable: incomplete detection-not sensing things that are there; mistaken detection or interpretation-wrong identification of sensed element; false detection-seeing what isn't there; and mistaken interpretation-wrong picture of reality.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 14, 2005
Accession Number
ADA447897

Entities

People

  • Ann Brodeen
  • Devin Burns
  • John Brand
  • Richard Kaste

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acoustic Signatures
  • Armored Personnel Carriers
  • Armored Vehicles
  • Databases
  • Deception
  • Detection
  • Doctrine
  • Identification
  • Information Operations
  • Military History
  • Military Operations
  • Millimeter Waves
  • Operations Research
  • Situational Awareness
  • Tracked Vehicles
  • United States Military Academy
  • Vehicles

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Educational Psychology
  • Sensor Fusion and Tracking Systems.