Cognitive Agents for Simulation of Battlefield Airspace (CASBA)

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$69,996.00
Award Year:
2006
Program:
SBIR
Phase:
Phase I
Contract:
W911W6-07-C-0009
Award Id:
77358
Agency Tracking Number:
A062-188-0663
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1035 Virginia Drive, Suite 300, Fort Washington, PA, 19034
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
161162995
Principal Investigator:
Benjamin Bell
Principal Investigator
(215) 542-1400
bbell@chisystems.com
Business Contact:
Phil Rollhauser
Director of Contracts
(215) 542-1400
prollhauser@chisystems.com
Research Institute:
n/a
Abstract
Distributed simulation has the potential to promote more useful experiments and more effective joint exercises, with platforms from all branches of the services operating within the same virtual battlespace. The advantages of a virtual battlefield airspace could be significantly extended through the use of automated forces, or computer-generated forces (CGFs). The Army has already employed this technique to reduce manpower needed to staff an exercise and thus reduce costs. However, broader gains are achievable if the entities standing in for human role-players were more capable of human-like decision making and spoken interaction than is currently the case. Synthetic entities must be capable of understanding spoken and datalinked ATC (and other air traffic agency) directives and of responding appropriately, both behaviorally and verbally. These entities must exhibit appropriate interactions with air traffic agencies regardless of whether the controllers are human or synthetic. To accomplish this goal, we propose Cognitive Agents for Simulation of Battlefield Airspace (CASBA), which will (1) realistically model the decision-making, judgment, situational awareness, workload management, and communications of airborne entities in a battlefield airpsace; (2) provide robust, speaker-independent speech recognition and understandable and tactically-realistic speech synthesis; and (3) function reliably and interoperably in distributed simulation experiments.

* information listed above is at the time of submission.

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