A Meta-Model Architecture for Fusing Battlefield Information

Abstract

The principal contributions of this study are four-fold. First, we propose and illustrate a unifying meta-model architecture for fusing information in sensor-based decision support systems capable of delivering to the user strong inference results in support of tactical decision-making. Second, we demonstrate the feasibility of a completely automated system performing simulation. Third, we show that this architecture can readily accommodate several major network inference methods that are designed to handle battlespace uncertainty. And lastly, we discuss how this approach can be sued to directly assess the information advantage of US Forces relative to opposing force intelligence gathering capabilities and the implications of doing so on developing strategic deception operations.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2005
Accession Number
ADA434915

Entities

People

  • Patrick J. Driscoll
  • Steven J. Henderson

Organizations

  • United States Military Academy

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Battlefields
  • Battlespace
  • Control Systems
  • Deception
  • Decision Support Systems
  • Engineering
  • Fuzzy Logic
  • Fuzzy Sets
  • Game Theory
  • Intelligence Collection
  • Operations Research
  • Sensor Networks
  • Simulations
  • Systems Engineering
  • Uncertainty
  • United States Military Academy

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Software Engineering.
  • Systems Analysis and Design

Technology Areas

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