SBIR-STTR Award

Rapid Reprogramming Technologies for Electronic Warfare Training
Award last edited on: 1/31/2012

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$844,664
Award Phase
2
Solicitation Topic Code
AF103-023
Principal Investigator
Gary Deyoung

Company Information

Battlespace Simulations Inc (AKA: BSI)

26525 Harmony Hills
San Antonio, TX 78258
   (210) 792-9556
   N/A
   www.bssim.com
Location: Single
Congr. District: 23
County: Bexar

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2011
Phase I Amount
$99,962
Current simulations are limited in their ability to simulate complex systems, not only from a capabilities perspective, but from a rational agents perspective as well. In order to "rapidly and accurately represent agile, reactive, and adaptable threats" significant improvements are required in the development and application of rational agents. BSI proposes to develop a rapidly-reprogrammable cognitive architecture for use in distributed simulations, in which a wide array of tactically relevant variables (including threat data, behavioral tendencies and environmental factors) are dynamically evaluated and a logical response posture is suggested. BSI will design and prototype the Common Cognitive Decision Architecture (C2DA), which will serve as the foundation for this new capability. At a high level, the C2DA should be capable of evaluating Decision Factors (DFs) and formulating a Decision Response (DR) at the entity level. The power to define exactly how these DFs are weighed by the C2DA must be put in the user's hands; thus the C2DA must be rapidly reprogrammable by the non-programmer user. In Phase I, BSI will research and develop an initial set of Decision Factors and Decision Responses, design a prototype graphical user interface (GUI) for the C2DA and a Run-Time Interface (RTI) for interoperability.

Benefit:
The successful completion of this research will result in the innovative application of rational agents to distributed mission simulation. The C2DA has the potential to bring a revolutionary improvement in the behaviors and responses of computer generated forces (CGFs), thus improving the overall efficacy of distributed mission training as used throughout the DoD and by our allies. BSI intends to take an architectural approach that is problem-domain agnostic, meaning that the C2DA could be adapted to non-military distributed (or stand-alone) simulations in the future. The potential applications of the C2DA are literally countless, as it could be used to externalize and expand any simulation that uses (or should use) rational agents to process decision logic.

Keywords:
Electronic Warfare, Rapid Reprogramming, Distributed Mission Rehearsal, Cognitive Architecture, Intelligent Agents, Rational Agents

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2013
Phase II Amount
$744,702
Warfare is changing at increasingly rapid rate. What was once advanced technology has become simple and inexpensive for our adversaries to obtain. These contemporary truths complicate the U.S. military?s training requirements and result in training solutions that often lag behind the current fight. Current standard simulation technology is typically designed to address a prerequisite set of tactical problems and allows minimal flexibility outside of predetermined constraints. This simulation is focused primarily on recreating what has been observed and perhaps expanded to include some variable conditions also predicated on our observations. The resultant simulation often leaves us mastering the skills of yesterday?s fight and addresses only known threats and observed behaviors in an environment with relatively static adversarial decision making. Future simulation must be as flexible as our adversaries. To this end, BSI proposes the continued development of our Common Cognitive Decision Architecture (C2DA) as a means to help our distributed simulation frameworks rapidly and accurately represent agile, reactive, and adaptable threats. The new Phase II capabilities will give the end-user the tools to perform complex analyses, assessments and calculations, determine available and applicable options, present choices to the user, and inject dynamic behaviors into the target simulation environment.

Benefit:
In Phase II, BSI will leverage and significantly extend the capabilities demonstrated by the BSI Phase I prototype of the Common Cognitive Decision Architecture (C2DA) to empower the non-programmer end-user with the tools to rapidly develop and deploy a highly extensible set of even more powerful and capable rule-based Battlespace Assessments (BAs), Decision Factors (DFs) and Decision Responses (DRs), and control over how those assets are executed, to deliver an exceptional level of dynamic realism to distributed battlespace simulations. The new Phase II capabilities will give the end-user the tools to create and use these BAs, DFs and DRs to perform complex analyses, assessments and calculations, determine available and applicable options, present choices to the user, and inject dynamic behaviors into the target simulation environment. The market for distributed military simulation is vast and increasing as more and more training moves into the simulated realm. Many hundreds of millions of dollars have been spent on DIS-capable simulations, including weapon system trainers (WSTs), full-motion trainers (FMTs), image generators, and a wide variety of SAFs. In short, the market is many orders of magnitude larger than required for BSI to thrive with just a small market share. The first product that will incorporate the C2DA is BSI's Modern Air Combat Environment (MACE). MACE is BSI?s flagship product is the Modern Air Combat Environment (MACE), a DIS-based entity generator and threat environment. Within six months of the initial release of MACE in April of 2011, MACE had been sold to USAF, ANG and USSOCOM units, educational institutions and to companies in the private sector. We believe that a fully developed C2DA will make MACE (and third party CGF/SAFs) even more capable and attractive to our customers, as it externalizes and empowers the end user to dynamically affect entity behaviors, increasing the realism and efficacy of entity interaction in a distributed simulation framework.

Keywords:
Rational Agents, Rules Engine, Semi-Automated Forces, Dis, Threat Environment