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CASSIE: Complex Adaptive System Strategy Interplay Environment

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-04-C-0137
Agency Tracking Number: F041-091-1512
Amount: $99,999.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF04-091
Solicitation Number: 2004.1
Timeline
Solicitation Year: 2004
Award Year: 2004
Award Start Date (Proposal Award Date): 2004-04-26
Award End Date (Contract End Date): 2004-10-26
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) 496-2415
Email: clancy@aptima.com
Research Institution
N/A
Abstract

At the core of the Joint Force Air Component Commander's (JFACC) responsibilities is the need to understand the enemy, and the enemy's Courses of Action (COA) to enable successful operational decision-making and to develop a comprehensive air strategy for the Aerospace Operations Center (AOC). Effects-Based Operations (EBO) has widened the scope of the problem, requiring analysis of the enemy as part of a broader interconnected system. JFACC decision-making and blue COA development have typically been aided by analysts with expertise in enemy strategy, by wargaming, and more recently by computer simulation of enemy response or behavior. However, as Paul Davies writes "Current methods of analysis and modeling are inadequate for representing EBO.. Addressing the challenge will require changes of mindset, new theories and methods, and a new empirical base." (Davies, 2001) One solution is to use Complex Adaptive Systems (CAS) theory to create simulation models that portray friendly and adversary as a complex dynamic system with emergent counter-intuitive behavior. CASSIE - Complex Adaptive System Strategy Interplay Environment - provides the tool necessary to examine, predict, and learn potential enemy strategies and courses of action. CASSIE simulations will show the unexpected consequences that occur from interactions of blue and enemy strategies.

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

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