Weapon Firing Algorithm for Simulated Individual Combatants

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$69,977.00
Award Year:
2002
Program:
SBIR
Phase:
Phase I
Contract:
DAAD16-02-C-0034
Award Id:
58166
Agency Tracking Number:
A012-1100
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
3600 Green Court, Suite 600, Ann Arbor, MI, 48105
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
009485124
Principal Investigator:
AmyHenninger
Senior Scientist
(407) 207-2237
amy@soartech.com
Business Contact:
JamesRosbe
President
(734) 327-8000
rosbe@soartech.com
Research Institute:
n/a
Abstract
"This effort proposes a study for the development of an individual combatant weapon systems firing algorithm to be used in the Integrated Unit Simulation System (IUSS). The IUSS is a force-on-force model used by analysts to support acquisition and materieldesign considerations affecting individual combatants and small units in high-resolution combat and operations other than war. To improve the fidelity of simulation and better support the decision-making needs of analysts, improved behavioralrepresentations are required.A number of techniques for representing human decision-making have been reviewed by researchers in the military simulation human behavior representation (HBR) community. However, no studies have focused specifically on which techniques would be bestsuited to modeling Individual Combatant (IC) weapons firing tasks. We propose a methodical approach to identifying which HBR techniques would best serve this need. Included in this approach are a review of existing production level and research levelalgorithms, a technique for defining model requirements and collecting supporting data, and an HBR framework within which to consider the alternative techniques. It is anticipated that the execution of this approach will result in an effective andefficient plan for developing an IC weapon systems firing algorithm for the IUSS. Creating realistic, real-time virtual humans is an ambitious goal being pursued by a variety of

* information listed above is at the time of submission.

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