Brahms Contested Airspace Simulation Testbed (Brahms-CAST)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8560-15-M-6661
Agency Tracking Number: F15A-T14-0134
Amount: $149,958.00
Phase: Phase I
Program: STTR
Awards Year: 2015
Solicitation Year: 2015
Solicitation Topic Code: AF15-AT14
Solicitation Number: 2015.1
Small Business Information
387 Linden Ave, Doylestown, PA, 18901
DUNS: 78791740
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Benjamin Bell
 Principal
 (267) 225-2778
 bbell@aqru-llc.com
Business Contact
 Christine Ryder
Phone: (267) 225-2778
Email: cryder@aqru-llc.com
Research Institution
 FL Inst for Human & Machine Cogniti
 Sharon Heise, Ph.D.
 40 South Alcaniz Street
Pensacola, FL, 32502
 (850) 202-4465
 Domestic nonprofit research organization
Abstract
ABSTRACT: Remarkable advances in artificial intelligence (AI) and human-systems integration are providing aircrew with cockpit automation systems of unprecedented sophistication. Onboard intelligent assistants monitor the aircraft, interpret and carry out pilot commands, and advise the pilot (onboard or remote) as to aircraft and system status, mission progress, threats and alerts. Because pilots and agents are part of a network that may involve ambiguous communications and dynamic roles and responsibilities, Anti-Access/Area Denial (A2AD) raises significant implications for how aircrew can work with their intelligent associates. There is thus a need for concepts of operations (CONOPS), training, and tactics, techniques, and procedures (TTPs) to combat the A2AD threat. Current approaches that employ models within simulations of an operating environment (OE) are not adequate to properly capture work practices of the socio-technical system. A2AD effects may disrupt discrete entities but can also have devastating effects on the way people and intelligent systems work together. An urgent need has surfaced for a more robust capability to simulate, test, predict, and evaluate how these human/agent teams can succeed when faced by both nominal and adverse conditions. We propose addressing this urgent need with an innovative application of a sophisticated and proven work practice analysis simulation.; BENEFIT: Results from this work will establish an approach to agent-based modeling that provides a powerful, activity-based approach that represents how functions are carried out in practice, including interactions among aircrew and associate systems. This will pave the way for experimentation, testing and training to research how pilots, remote pilots and their automation systems collaborate in contested environments. Commercial applications include Air Force and DoD agencies and commands with oversight of training, experimentation and testing, where operating in contested environments is an established need. Across DoD, other services have related needs for continuous operations in A2AD conditions as well as specific requirements, such as submarine or littoral operations. The need for manned/unmanned team training in counter-terrorism, counter-narcotics, border protection, law enforcement and incident response presents commercial opportunities in other government sectors. Operations in the environment of space share exposure to risks much like those faced by the Air Force in conducting mixed human/autonomous operations under A2AD conditions. The capability for testing, training and validating team operations in any degraded environments that create contested-like conditions will enable a robust array of commercial opportunities.

* Information listed above is at the time of submission. *

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