SBIR-STTR Award

Alternative Aggregate Combat Modeling Algorithms
Award last edited on: 4/2/2008

Sponsored Program
STTR
Awarding Agency
DOD : DARPA
Total Award Amount
$952,229
Award Phase
2
Solicitation Topic Code
ST071-003
Principal Investigator
Mikel Petty

Company Information

Gnosys Systems Inc

198 Broadway
Providence, RI 02903
   (401) 632-0280
   jpanagos@gnosyssystems.com
   www.gnosyssystems.com

Research Institution

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Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2007
Phase I Amount
$98,754
We propose to develop a means of combining unit-level and entity-level combat simulations that combines the best features of both and avoids the problems and overhead of multi-resolution simulations and inter-level interactions. The essential idea, which will be elaborated in the following sections, is to develop new alternative aggregate-level algorithms for key combat phenomenology (moving, sensing, and shooting) that are based on entity-level models, with their associated natural entity level of resolution and direct supportability by data, but have been abstracted to allow their responsive execution in the context of a unit-level simulation. These new algorithms will eliminate the need for aggregation, disaggregation, and entity control handoff, at least for purposes of resolving unit-level combat.

Keywords:
Aggregation, Disaggregation,Entity Level Simulation, Aggregate Simulations, Modeling,

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2009
Phase II Amount
$853,475
Gnosys, the University of Alabama in Huntsville, and SAIC propose that entity level performance data be “rolled-up” into aggregate performance data and used to resolve unit level combat at the unit level. Such an approach for conducting aggregate simulation would realize the advantage of employing validated entity level data but also keep the advantages inherent in aggregate simulation of computational efficiency and faster-than-real-time resolution. Moreover, the technology would eliminate correlation issues between aggregate and entity-level simulations. In Phase I, this approach was explored in the design of a new set of alternative aggregate-level algorithms. These essentially “rolled up” entity level data into unit-level effects without the need for an entity-by-entity time-stepped simulation. For Phase II, we propose to further research the extent, depth and validity of these algorithms by implementing them in actual simulation environments such as the OneSAF entity simulation and the WARSIM aggregate simulation. In Phase II, we hope to show that these algorithms are able not only “roll-up” entity data that pertains to traditional battlefield kinetic effects but also are able to “roll-up” Political Military Economic Social Infrastructure and Information (PMESII) data that influence non-kinetic battlefield effects.

Keywords:
Aggregation, Disaggregation, Entity Level Simulation, Aggregate Simulation, Modeling