A Hybrid Architecture Approach to Forecasting Adversary Reactions

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-09-C-0115
Agency Tracking Number: F083-058-1382
Amount: $99,999.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2008
Solicitation Topic Code: AF083-058
Solicitation Number: 2008.3
Small Business Information
1050 W NASA Blvd, Suite 154, Melbourne, FL, 32901
DUNS: 038379579
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Lee Krause
 Director, Engineering and
 (321) 591-9836
Business Contact
 Lynn Lehman
Title: Process Engineering Manag
Phone: (919) 244-3946
Email: mikechin@ptise.com
Research Institution
Course of action (COA) analysis, especially adversary reaction prediction, that occurs during the Joint Operation Planning Process/Joint Air Estimate Process (JOPP/JAEP) has benefited by applying advanced computing algorithms. Typically though, algorithms have been narrowly applied to solve niche issues within broader JOPP/JAEP tasks. The concept of hybrid architectures seeks to provide a more holistic approach. With hybrid architectures, tasks are decomposed into subtasks that are assigned an algorithm suitable to performing that subtask. Hybrid architectures may be constructed from a variety of algorithms, and typically multiple algorithms can be applied to a general classification of problem. However, although the classification may be similar, the problem constraints imposed by the current situation in which decisions must be made vary greatly. To address these challenges, Securboration is teaming with artificial intelligence expert Dr. Eugene Santos from Dartmouth College to develop the Virtual Hybrid Architecture Computing System or VHACS. In Phase I of this effort, the Securboration Team will develop the VHACS prototype that determines appropriate algorithms to satisfy given subtasks within the current operational environment and then composes them into a specification that it invokes for a distributed execution. VHACS combines the benefits of traditional hybrid architectures with the reach, flexibility, and reusability of netcentric concepts. BENEFIT: VHACS presents a series of interesting initial commercialization opportunities that will be explored, and subsequently refined, over the course of this research.  The approaches taken in VHACS to automate hybrid execution through distributed discovery and composition and applying the results to solve complex problems have utility to a variety of commercial applications. The four most prominent include: 1) Logistics algorithms that focus on optimization can be combined with other algorithms to understand the propagating cascading effects that logistics contributes to, 2) Gaming algorithms and techniques developed for VHACS can be embedded into gaming engines (including military) to incorporate a more dynamic/realistic behavior based on composite algorithms. Especially with distributed gaming approaches, VHACS can dynamically alter the algorithms that comprise the executable hybrid architecture package to modify the behavior of virtual entities etc., 3) World Banking VHACS can invoke hybrid algorithms to understand how regional behaviors rapidly change based on perceptions of U.S. actions taken, VHACS could be used to understand regional stability issues that are of great concern to the world banking community, 4) Strategic Business Analysis there is a very close analogy between understanding an enemy, his likely courses of action and developing a plan to defeat him to that of understanding a business competitor, his likely aggressive business actions and developing a strategic business plan to dominate in a discrete business domain. It is clear that this research could significantly improve, or perhaps even supplant, current business analysis and planning techniques such as SWOT analysis.

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

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