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A SOFTWARE ARCHITECTURE FOR DEVELOPING AGGREGATE INTELLIGENCE SUMMARIES

Award Information

Agency:
Department of Defense
Branch:
Defense Advanced Research Projects Agency
Award ID:
15326
Program Year/Program:
1991 / SBIR
Agency Tracking Number:
15326
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Mrj Inc.
10455 White Granite Dr #200 Oakton, VA 22124
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1991
Title: A SOFTWARE ARCHITECTURE FOR DEVELOPING AGGREGATE INTELLIGENCE SUMMARIES
Agency / Branch: DOD / DARPA
Contract: N/A
Award Amount: $49,990.00
 

Abstract:

WHILE INTELLIGENCE INFORMATION IS CRUCIAL TO ALL DECISION ANALYSIS AND OPERATIONS EVALUATION, ITS COLLECTION AND ANALYSIS HAS BECOME A DEMANDING TASK. RECENT YEARS HAVE SEEN AN INCREASE IN THE AMOUNT AND SCOPE OF FIRST LEVEL INTELLIGENCE PRODUCTS WHILE THE TIME AVAILABLE FOR ANALYSIS AND DECISION MAKING HAS DECREASED. A COMPUTERIZED SYSTEM CAPABLE OF CREATING ANALYTICAL INTELLIGENCE REPORTS FROM FIRST LEVEL INTELLIGENCE PRODUCTS WOULD GREATLY ASSIST DECISION MAKERS. PAST EFFORTS TO CREATE COMPUTERIZED SYSTEMS HAVE BEEN HINDERED BY THE DIFFICULTY IN EVALUATING INTELLIGENCE HYPOTHESES IN THE LIGHT OF UNCERTAIN OR MISSING EVIDENCE. MRJ AND GEORGE MASON UNIVERSITY (GMU) PROPOSE AN INNOVATIVE SYSTEM THAT COMBINES STATE OF THE ART PROBABILISTIC INFERENCE TECHNIQUES WITH SYMBOLIC KNOWLEDGE-BASED TECHNIQUES. PROBABILISTIC INFERENCE METHODS HAVE BEEN SHOWN TO BE WELL SUITED TO EVALUATING HYPOTHESES WITH UNCERTAIN OR MISSING EVIDENCE. RECENT RESEARCH HAS DEMONSTRATED THAT KNOWLEDGE-BASED TECHNIQUES CAN BE USED TO CREATE THE PROBABILISTIC MODELS NECESSARY FOR PROBABILISTIC METHODS TO PERFORM THEIR ANALYSIS. A SYSTEM COMBINING THESE TWO TECHNOLOGIES COULD AGGREGATE FIRST LEVEL INTELLIGENCE TO DEVELOP AND TEST PLAUSIBLE INTELLIGENCE HYPOTHESES AND CREATE ANALYTICAL INTELLIGENCE REPORTS. THE RESULTING SYSTEM WILL GREATLY ENHANCE OUR ABILITY TO ANALYZE FIRST LEVEL INTELLIGENCE PRODUCTS. THE SYSTEM DESCRIBED WOULD LOWER THE HUMAN LABOR REQUIRED TO COLLECT FIRST LEVEL INTELLIGENCE AND GENERATE SUMMARIES. IT WOULD MAKE THESE REPORTS MORE AVAILABLE TO DECISION MAKERS, ESPECIALLY IN TIME CRITICAL SITUATIONS. THIS SYSTEM COULD EITHER LOWER THE COSTS OF WAR GAME SIMULATIONS OR THE COST SAVINGS COULD BE REDIRECTED INTO CREATING MORE DETAILED SIMULATIONS. THE BASIC TECHNOLOGY COULD BE SUPPLIED DIFFERENT DOMAIN KNOWLEDGE TO CREATE COMMERCIAL APPLICATIONS.

Principal Investigator:

Steven Geyer
Principal Investigator
7039349235

Business Contact:

Small Business Information at Submission:

Mrj Inc
10455 White Granite Drive Oakton, VA 22124

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No