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Genetically Actualized Models of Behavior for Insurgent Tactics (GAMBIT)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-07-C-0931
Agency Tracking Number: O074-005-4002
Amount: $99,998.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: OSD07-T005
Solicitation Number: N/A
Timeline
Solicitation Year: 2007
Award Year: 2007
Award Start Date (Proposal Award Date): 2007-07-25
Award End Date (Contract End Date): 2008-07-25
Small Business Information
3600 Green Court Suite 600
Ann Arbor, MI 48105
United States
DUNS: 009485124
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Brian Stensrud
 Research Scientist
 (407) 207-2237
 stensrud@soartech.com
Business Contact
 James Rosbe
Title: President and CEO
Phone: (734) 327-8000
Email: rosbe@soartech.com
Research Institution
 UNIV. OF CENTRAL FLORIDA
 Matthew Cronan
 
Office of Research & Com. 12201 Research Pky, Ste 501
Orlando, FL 32826-3246
United States

 (407) 823-3031
 Nonprofit College or University
Abstract

Soar Technology proposes to improve the efficacy of existing combat simulations by introducing a more realistic computer-generated adversary (OPFOR). To do this, we introduce GAMBIT - a novel system for dynamically generating and implementing asymmetric tactics supported by the use of genetic algorithms. Using GAMBIT, asymmetric tactics are generated offline given the initial conditions of a scenario and feedback from past simulation runs. The resultant tactic is then converted into a plan, which in turn feeds goal and sequence information to dynamic, intelligent behavior models of OPFOR that will ultimately execute the tactic. The use of GAMBIT for generating and executing asymmetric tactics will not only reduce the manpower required to mimic adversaries during training exercises, but will also deliver a wider variety of novel, unexpected insurgent behavior than possible by manual tactics generation.

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

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