Multiagent Autonomous Reasoning System (MAARS) for Satellite Defense

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: N10PC20110
Agency Tracking Number: 09SB3-0097
Amount: $98,999.00
Phase: Phase I
Program: SBIR
Awards Year: 2010
Solicitation Year: 2009
Solicitation Topic Code: SB093-006
Solicitation Number: 2009.3
Small Business Information
Perceptronics Solutions, Inc.
3527 Beverly Glen Blvd., Sherman Oaks, CA, 91423
DUNS: 124668711
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Amos Freedy
 (818) 788-4830
Business Contact
 Gershon Weltman
Title: Vice-President
Phone: (818) 788-1025
Research Institution
In this document, we propose to carry out the research and development required to establish a distributed multi-agent system that will provide planning and execution capabilities that is aimed at protecting U.S. space capabilities against offensive space technologies. The uncertainty in detection and potential impact of offensives and their corresponding defenses, communication/time limitations and the highly sensitive nature of the decisions to be made are some of the major challenges of this application domain. To address these issues, our approach is based on two main components: Team’s Reshaping of Models for Rapid Execution (TREMOR) planning algorithm that is based on Distributed Partially Observable Markov Decision Processes (Dis-POMDPs) and also Adjustable Autonomy (AA). University of Southern California (USC)’s TeamCore research group has extensive experience with distributed multi-agent planning algorithms and Perceptronics has been developing systems that apply these algorithms and many other planning and execution approaches in a wide variety of domains with varying levels of autonomy and human intervention. We are confident that uncertainty handling in TREMOR and AA’s elegant handling of human intervention, along with the addition of team level plans and sensitivity analysis of potential defense actions, will be able to address all characteristics of our application domain.

* information listed above is at the time of submission.

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