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Urban Computer Generated Forces (CGF) Models

Award Information
Agency: Department of Defense
Branch: Army
Contract: W900KK-13-C-0053
Agency Tracking Number: A131-056-0403
Amount: $99,895.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A13-056
Solicitation Number: 2013.1
Timeline
Solicitation Year: 2013
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-08-01
Award End Date (Contract End Date): 2014-02-03
Small Business Information
3600 Green Court Suite 600
Ann Arbor, MI -
United States
DUNS: 009485124
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Robert Hubal
 Lead Scientist
 (762) 223-1763
 robert.hubal@soartech.com
Business Contact
 Andrew Dallas
Title: Vice President
Phone: (734) 887-7603
Email: contracts@soartech.com
Research Institution
 Stub
Abstract

Soar Technology, Inc. (SoarTech) proposes to integrate detailed models of cultural daily activities and patterns of life into simulations of synthetic characters inhabiting, and of vehicular traffic moving in, an urban environment. SoarTech will demonstrate technical feasibility of the approach by integrating these models into the Army's OneSAF in a way that requires minimal resource utilization. To improve simulation realism, the approach focuses on two prongs of behavior simulation: the entities (i.e., synthetic characters and vehicles) must have some model of cultural awareness and they must accurately portray the patterns of life that are predominant in their cultural milieu. By the end of Phase I SoarTech plans to have demonstrated the feasibility of culturally-specific behavior models through the conduct of an experiment. In this experiment a metric of interest will be authenticity, that is, would an expert viewing two scenes, one depicting culturally-specific behaviors and one depicting culture-agnostic (but otherwise realistic) behaviors, be able to determine which scene is which. Additional metrics of interest will be comprehensibility, in particular how easily understood are the parameters by which behavior is altered, and scalability in showing satisfactory performance when tens and hundreds and thousands of culturally-aware synthetic characters are represented.

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

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