Sense-making via Collaborative Agents and Activity Networks (SCAAN)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-13-C-0077
Agency Tracking Number: O123-AU6-1130
Amount: $150,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2013
Solicitation Year: 2012
Solicitation Topic Code: OSD12-AU6
Solicitation Number: 2012.3
Small Business Information
12 Gill Street, Suite 1400, Woburn, MA, -
DUNS: 967259946
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Georgiy Levchuk
 Simulation&Optimization Engineer
 (781) 496-2467
Business Contact
 Thomas McKenna
Title: Chief Financial Officer
Phone: (781) 496-2443
Research Institution
The quantity of data that need to be collected, examined and shared during Intelligence, Surveillance, and Reconnaissance Operations is growing fast due to increasing use of sensors. To deal with this challenge, the Air Force intelligence services are implementing a new process of planning and direction, collection, processing and exploitation, analysis and production, and dissemination (PCPAD). PCPAD requires new technologies that collect and process only the most critical and relevant information. Aptima proposes to develop a system for Sense-making via Collaborative Agents and Attributed Networks (SCAAN) that integrates distributed situation understanding, autonomous knowledge seeking, dynamic collaboration, and an adaptive heterogeneous command and control organization. SCAAN will solve challenges of collaborative large-scale information processing by incorporating a model of dependencies between essential elements of information based on real-world processes into its distributed information sharing framework. These dependencies will be used to construct an agent organization, which assigns command and execution roles to sensor nodes and is required for reducing complexity of managing heterogeneous sensor team, and a collaboration policy, which will be based on dependencies between the tasks executed by different nodes. SCAAN will achieve reduction in data analysis time while maintaining optimality of situation estimates obtained in a distributed manner.

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

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government