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CASSIE: Complex Adaptive System Strategy Interplay Environment

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-05-C-0078
Agency Tracking Number: F041-091-1512
Amount: $744,307.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: AF04-091
Solicitation Number: 2004.1
Timeline
Solicitation Year: 2004
Award Year: 2005
Award Start Date (Proposal Award Date): 2005-03-29
Award End Date (Contract End Date): 2007-03-29
Small Business Information
12 Gill Street, Suite 1400
Woburn, MA 01801
United States
DUNS: 967259946
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 James Melhuish
 Organizational Analyst
 (781) 496-2453
 jmelhuish@aptima.com
Business Contact
 Margaret Clancy
Title: Chief Financial Officer
Phone: (781) 496-2424
Email: clancy@aptima.com
Research Institution
N/A
Abstract

Our Phase I effort demonstrated the potential for Complex Adaptive Systems theory (CAS) simulation modeling to help in strategy development regarding enemy's Courses of Action (COA). The Complex Adaptive System Strategy Interplay Environment (CASSIE) project discovered that numerical simulation models can be built to represent real-world complex systems using a variety of CAS modeling methodologies. In our work, we identified a number of powerful, highly-featured environments available for simulation modeling of complex adaptive systems, including human decision-making and social systems; however, lacking was a software modeling tool specifically for COA strategy development. Such a tool can improve the Joint Force Air Component Commander’s (JFACC) understanding of the enemy and aid in the development of a comprehensive air strategy within for the Aerospace Operations Center (AOC). The final Phase II CASSIE will be designed to provide a collaborative environment to create models of potential enemy strategies and courses of action. CASSIE leverages theoretical work from a number of disciplines, and creates a modeling tool designed to develop semantically-rich qualitative CAS models of the adversary situation, develop them into quantitative simulation models, and produce dynamic output in simulation experiments and in wargaming for COA development or training purposes.

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

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