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Modeling and Prediction of Asymmetric Threat Learning Processes

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
77178
Program Year/Program:
2008 / SBIR
Agency Tracking Number:
N061-077-0038
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Commonwealth Computer Research, Inc.
1422 Sachem Pl., Unit #1 Charlottesville, VA 22901-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2008
Title: Modeling and Prediction of Asymmetric Threat Learning Processes
Agency / Branch: DOD / NAVY
Contract: N00014-08-C-0254
Award Amount: $3,701,762.00
 

Abstract:

CCRI's Phase I research efforts on Modeling and Prediction of Asymmetric Threat Learning Processes have shown the potential for learning models to improve predictive accuracy. The methodology developed proved to be robust and provides improvements in prediction, even when parameter estimation for the structural equation models was not significant. The Phase I results suggest that the development of a prototype tool based on the methods CCRI developed is necessary to automate information selection and build a database to store large volumes of data, model parameters and results. The proposed tool will also enable formal testing of the model for robustness using alternative datasets and scenarios. Several questions arose from the Phase I work and provide a basis for additional Phase II technical objectives. These include measuring and evaluating the effectiveness of model components and other factors that might influence enemy attacks.

Principal Investigator:

Jill M. Willson
Senior Systems Engineer
4349770600
jmwillson@ccri.com

Business Contact:

C. L. Pittard
VP of Operations
4349770600
louis@ccri.com
Small Business Information at Submission:

COMMONWEALTH COMPUTER RESEARCH, INC.
1422 Sachem Pl., Unit #1 Charlottesville, VA -

EIN/Tax ID: 541513568
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No