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Award Information
Agency: Department of Defense
Branch: Army
Contract: W912CG-22-C-0012
Agency Tracking Number: A2-8854
Amount: $659,784.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: A20-061
Solicitation Number: N/A
Solicitation Year: 2020
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-02-16
Award End Date (Contract End Date): 2023-01-18
Small Business Information
3600 Green Court Suite 600
Ann Arbor, MI 48105-1111
United States
DUNS: 009485124
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Charles Newton
 (407) 636-0972
Business Contact
 Christian Thomas
Phone: (321) 355-0231
Research Institution

In this Phase II project, SoarTech proposes to extend and mature our Phase I research for Behavior and Action-Driven Game Environmental Rewards in Task Learning (BADGER-TL) into a flexible behavior engine that can be rapidly deployed to meet a large number of behavior-related requirements across the full spectrum of modeling and simulation (M&S) training systems available in the DoD enterprise, including the Army’s emerging Synthetic Training Environment (STE). SoarTech is an industry leader in the development of artificial intelligence and machine learning (AI/ML)-enabled agents that generate behavior in complex environments. Our BADGER-TL approach fuses intelligent system design principles from goal-based cognitive models and deep learning approaches to create a hybrid behavior architecture providing instructors and behavioral designers the ability to rapidly inject behaviors into modeling and simulation systems. BADGER-TL leverages SoarTech’s experience in intelligent systems to produce an agent design capable of human-level reasoning and team coordination, even in novel situations, while remaining data efficient in its task learning and memory mechanisms. SoarTech will also develop human-centric interface designs that allow subject-matter experts to control and adjust intelligent agent behavior to produce desired effects, such a variable skill levels.

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

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