SBIR/STTR Research Award

An Intelligent Simulation-based Team Training Environment for Information Warfare

Award identifier de1c8910db8a525f63f09de14872b071dddcb89c0d8469a38d397cfbd86b2275Awarding agency Department of Defense · Air Force

Award amount

$100,000

Program and phase

SBIR · Phase I

Award year

2003

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
STOTTLER HENKE ASSOCIATES, INC
Proposal award date
Not reported
Contract end date
Not reported
UEI
FFEAH6Z5CK27
Solicitation number
Not reported
Topic code
Not reported

Research abstract

Information warfare will play an increasingly crucial role in achieving military superiority. Increased training is needed to develop a force with the required expertise to achieve information superiority. We propose a simulation-based Intelligent TutoringSystem (ITS) to train teams of Air Force personnel in critical information warfare skills. Being server-based, the ITS will enable distance learning. The ITS will develop individual skills and team performance skills. Among the proposed innovations is thefacility for compositional scenario design using scenario fragments and rules for their selection and assembly. This will enable the generation of scenarios that are fine-tuned to different learning needs among team members in terms of the emphasis andoptimal challenge levels. The proposed system will adapt itself to individual teams and its members, and thus minimize the need for human instructional intervention. By providing for distance learning, it will allow the Air Force to train its personnel, at remote locations, thus,cutting down on travel expenses and time. This will help the Air Force maintain a highly trained and prepared crew ready to handle information attacks at any time. Phase I will result in a proof-of-concept prototype that will demonstrate the effectivenessand feasibility of our approach. Several government organizations other than the military deal with sensitive information. For example, intelligence and intelligence analysis is of significant importance to the Law Enforcement Agency, the FBI, and the Drug Enforcement Agency. Networkintrusion detection and prevention is of importance both to the government and businesses. The proposed system can be marketed to such organizations.

Technology keywords

Not reported

Research funding history

428 SBIR/STTR records share this UEI (1990–2026). Reported award amounts total $136,164,855. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Health and Human Services, Department of Energy, Department of Commerce, National Science Foundation

Agency intelligence

Department of Defense

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