Accession Number : ADA137343

Title :   Intelligence Fusion Modeling. A Proposed Approach.

Descriptive Note : Working paper,


Personal Author(s) : Antonisse,H J

PDF Url : ADA137343

Report Date : 16 Sep 1983

Pagination or Media Count : 95

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.

Descriptors :   *Military intelligence, *Electronic warfare, Tactical intelligence, Information processing, Artificial intelligence, Methodology, Models

Subject Categories : Military Intelligence

Distribution Statement : APPROVED FOR PUBLIC RELEASE