Distributed Battlespace Management Systems

Award Information
Agency: Department of Defense
Branch: Army
Contract: DAAE30-02-C-1036
Agency Tracking Number: A012-1323
Amount: $69,924.00
Phase: Phase I
Program: SBIR
Awards Year: 2002
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
888 Easy Street, Simi Valley, CA, 93065
DUNS: 611466855
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Gabriel Udomkesmalee
 Program Director
 (805) 582-0582
Business Contact
 Roy Medlin
Title: VP of Finance & Administr
Phone: (805) 582-0582
Email: rmedlin@americangnc.com
Research Institution
"The military battlespace is a complex, dynamic, and open multiagent system requiring timely and distributed information fusion and decision making. The objective of this project is to develop a distributed battlspace management system using the advancedmultiple target tracking, the recursive modeling method, the dynamic programming, and Bayesian learning techniques. The innovations of this project include: 1) application of a Markov Chain Monte Carlo data association approach for solving complicatedmultitarget-multisensor tracking problems using inexact inputs received from diverse sensors; 2) development of a fuzzy Bayesian network to create a situation modeling structure and computational architecture for uncertain inference; 3) development of arecursive modeling method for enabling an agent to select its action and to coordinate with other agents by modeling their decision making in a multiagent domains; 4) application of a dynamic programming technique for solving the optimization problem forautonomous agents; 5) application of Bayesian learning for updating the agent's belief about the other agents by revising the probability concerned with the other agent's model based on their observed behavior; and 6) testing, demonstration and evaluationof the performance of the multiagent battlespace decision making system using a standard battlespace scenario in an intelligent virtual simulation environment. The research results of this S

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

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