SBIR-STTR Award

Research in artificial intelligence for non-communications electronic warfare systems
Award last edited on: 8/27/2002

Sponsored Program
SBIR
Awarding Agency
DOD : Army
Total Award Amount
$543,261
Award Phase
2
Solicitation Topic Code
A87-291
Principal Investigator
J G Caldwell

Company Information

Vista Research Corporation

3826 Snead Drive
Sierra Vista, AZ 85635
   (602) 378-2130
   N/A
   N/A
Location: Single
Congr. District: 02
County: Cochise

Phase I

Contract Number: DAAB07-87-C-P057
Start Date: 00/00/00    Completed: 00/00/00
Phase I year
1987
Phase I Amount
$49,545
This proposal proposes to investigate the feasibility of developing a rapid deployment capability for tactical combat models. The capability is necessary to support sampling of alternative simulated tactical deployments (STDS), which is presently not feasible to do on a scale and level of detail required by existing large-scale (theater level or corps level) tactical combat models. Without this capability, the methodological foundation of using present-day tactical combat models as a basis for test and evaluation of weapon systems and equipment centers on the use of a single std, and is extremely weak. The availability of a rapid deployment capability will enable the use of samples of STDS in test and evaluation, and will radically broaden the scope of inference of tactical-combat model-based analyses, and justify their use as a basis for evaluation of the combat effectiveness of military systems and equipment..

Phase II

Contract Number: DAAB07-89-C-P017
Start Date: 9/1/1989    Completed: 8/1/1991
Phase II year
1989
Phase II Amount
$493,716
The purpose of the proposed research is to develop an artificial intelligence (ai)-based system for automatically generating military scenarios. These scenarios would be used to specify initial conditions for tactical combat models and for command, control, communications, and intelligence (c3i) system evaluation models. The motivation for the proposed development is to reduce the time and cost of scenario preparation, so that military simulation and modeling may be based on broad-scope samples of scenarios rather than on a single scenario, as is often the case today.