SBIR/STTR Research Award

C2I Surrogate Behaviors using Subsumption Architecture and Critic-based Learning

Award identifier 13323e4d6276fea482c14ad030a29c5016555edb87709b19fe992a772e998fe6Awarding agency Department of Defense · Army

Award amount

$729,280

Program and phase

SBIR · Phase II

Award year

2003

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
MAK TECHNOLOGIES
Proposal award date
Not reported
Contract end date
Not reported
UEI
TT11NFHPTZN1
Solicitation number
Not reported
Topic code
Not reported

Research abstract

Warfighter decision-making is increasingly being pushed down to lower-levels of command in search of better and more rapid response. This increases requirements for simulation-based assessment, training, and mission rehearsal. Unfortunately, the C2Imodeling of both adversary and friendly forces in simulation is poor, requiring too much labor to set up and run simulations. Even though process-based AI approaches are labor-intensive, they can still produce unrealistic models. Improved cognitivemodeling, especially when capable of learning, holds promise to address the C2I modeling problem, enabling better simulation-based assessment, training, and mission rehearsal, without prohibitively high labor costs.During Phase I, M¿K Technologies identified key technologies that can be used to develop a robust behavior representation and generation system. These technologies were prototyped within a commercial CGF system. The Phase I research and prototypes providea strong foundation for Phase II development and commercialization. M¿K will also leverage its experience in developing powerful, yet easy-to-use toolkits to create a mechanism that will allow the community at large to access the behavior representationtechnology developed under this effort.The proposed approach builds upon a previous successful integration of MIT developed Behavior Based Robotics technology with an HLA-compliant CGF. In addition to achieving believable, unpredictable, adaptable C2Isurrogates, the proposed Phase II approach lays a foundation for future development by providing tools for use by future CGF developers and users to create new, realistic, complex behaviors. It also enables R&D into the development of standards forbehavioral representation. It enables advanced research of CGF-based human behavioral modeling. If successful, the results of this effort will be incorporated into MAK's commercial CGF product, and transitioned to other DoD programs, such as OneSAF andthe STRICOM Robotics STO.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

58 SBIR/STTR records share this UEI (1991–2006). Reported award amounts total $14,383,789. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.