Intelligence Fusion Modeling. A Proposed Approach.
Abstract
The U.S. Army is in urgent need of improved methods of modeling Intelligent and Electronic Warfare (IEW) in its battlefield simulations. We present a detailed methodology for modeling the all source fusion part of IEW. The approach draws on Artificial Intelligence techniques that have been used to successfully model human expertise in a variety of areas. A rule-based architecture with highly structured knowledge and data representations is developed. It will automatically correlate and integrate reports from different kinds of intelligence sources, respond to intelligence requests such as Primary Information Requirements and other Information Requirements (PIR/IR), keep requesting agencies appraised of changes in the perception of the battlefield, and justify its actions and answers. The development of the fusion methodology is in support of the Army Model Improvement Program (AMIP) through the AMIP Management Office (AMMO). The present work draws heavily on previous work sponsored by AMMO.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 16, 1983
- Accession Number
- ADA137343
Entities
People
- H. J. Antonisse
Organizations
- MITRE Corporation