THIS PROJECT WILL ASSESS ENEMY INFORMATION-ATTACK CYCLE TIMES FOR THE SMALL MOBILE MISSILE SYSTEM.

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: N/A
Agency Tracking Number: 2208
Amount: $50,000.00
Phase: Phase I
Program: SBIR
Awards Year: 1985
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
Lica Systems Inc
10400 Eaton Place - Ste 100, Fairfax, VA, 22030
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 ROBERT K COFOD
 (703) 359-0996
Business Contact
Phone: () -
Research Institution
N/A
Abstract
THIS PROJECT WILL ASSESS ENEMY INFORMATION-ATTACK CYCLE TIMES FOR THE SMALL MOBILE MISSILE SYSTEM. ANALYSIS WILL FOCUS ON DISCERNIBLE SIGNATURES OF THE MISSILE SYSTEM, INTERRELATIONSHIPS BETWEEN SIGNATURES, AND THE RELATIONSHIP OF SIGNATURES TO OPERATIONAL FACTORS. SIGNATURES WHICH ARE VULNERABLE TO ENEMY CY 1990-2000 DETECTION, TECHNOLOGIES WILL BE ANALYZED FOR DETECTION-IDENTIFICATION PROBABILITIES AND CYCLE TIMES FOR AN INFORMATION ATTACK SEQUENCE. WHILE PROVIDING A BASIS FOR SYSTEM MOVEMENT CRITERIA, THE ANALYSIS WILL ALSO DETERMINE THE FEASIBILITY OF AN ARTIFICIAL INTELLIGENCE (AI) VULNERABILITY ASSESSMENT MODEL. THIS INNOVATIVE MODEL WOULD, DURING THE DESIGN-DEVELOPMENT PHASE OF SYSTEM ACQUISITION, PROVIDE AN ASSESSMENT OF THE IMPACTS OF DESIGN ALTERNATIVES AND TRADE-OFFS ON SURVIVABILITY.THROUGH THE SELF-LEARNING ATTRIBUTES OF AI, THE MODEL COULD BE "GROWN"INTO A "VULNERABILITY MONITOR" TO CONTINUALLY SENSE FIELDED SYSTEM VULNERABILITY TO DETECTION-IDENTIFICATION.

* information listed above is at the time of submission.

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