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Adversarial Modeling for DBM Planning (AMDP)

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q15C0086
Agency Tracking Number: F2-8188
Amount: $1,499,754.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: AF12-BT09
Solicitation Number: 2012.0
Timeline
Solicitation Year: 2015
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-07-29
Award End Date (Contract End Date): 2017-08-15
Small Business Information
500 West Cummings Park - Ste 3000
Woburn, MA 01801
United States
DUNS: 859244204
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 KaI-yuh Hsiao
 (781) 933-5355
 kai-yuh.hsiao@ssci.com
Business Contact
 Mr. Rick Lusignea
Phone: (781) 933-5355
Email: rlusignea@ssci.com
Research Institution
N/A
Abstract

We propose a Phase II effort to extend the game-theoretic technology to apply to the DARPA Distributed Battle Management (DBM) program. Our proposed AMDP (Adversarial Modeling for DBM Planning) system augments DBMs capabilities with a predictive model of adversarial uncertainty and action.We seek to answer the question How can we predict enemy responses and positions, and update those predictions based on incoming dataAMDP uses models of various aspects of enemy COAs including decoys and mobile units and various related uncertainties including: enemy positions, asset types, and available actions in a SEAD-type (Suppression of Enemy Air Defenses) mission against ground targets.AMDP fuses prior, incoming, and predicted world knowledge to generate courses of action that maximize informational gain metrics, and thus minimize uncertainty, in order to ensure correct actions and protect against worst-case outcomes due to unexpected events.The targeted end result is a simulation assessment showing improved mission efficacy (measured by speed and accuracy in identifying and engaging true targets in a field of decoys) in high-uncertainty scenarios, within a third-party air battle simulation environment such as AFSIM or SIMAF.

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

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