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Extending HLSR to Support Scaling Up to Complex Models for Training,…

Award Information

Department of Defense
Award ID:
Program Year/Program:
2009 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Soar Technology, Inc.
3600 Green Court Suite 600 Ann Arbor, MI -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2009
Title: Extending HLSR to Support Scaling Up to Complex Models for Training, Simulation, and Robotics
Agency / Branch: DOD / NAVY
Contract: N00014-09-M-0235
Award Amount: $69,992.00


A long-term, cost-effective approach to addressing increased mission complexity and cost is to increase automation in operations and training. Although a variety of automation exists, the next significant advance will be to automate decision-making processes that currently rely on human experts. Such experts take years to train and are only available for a limited time, whereas intelligent software systems can be copied without limit, and they do not age or retire. Although now technically feasible to build intelligent decision-making systems, it remains expensive and difficult to engineer them, as well as to carry out the necessary supporting research into psychological modeling. However, High-level languages for software engineering have proven extremely effective at reducing costs for the development of complex software. Soar Technology, Inc. proposes to bring similar effectiveness to decision-making system engineering, reducing the cost of development and maintenance by 4-5 times. We will accomplish this by extending an existing HLSR language and compiler with knowledge patterns for building increasingly complex and human-like models. While this effort will primarily payoff for engineered systems, we argue that it also will improve the cost effectiveness and scientific consistency of cognitive modeling research.

Principal Investigator:

Randolph Jones
Senior Scientist

Business Contact:

Katherine Harding
Senior Scientist
Small Business Information at Submission:

3600 Green Court Suite 600 Ann Arbor, MI 48105

EIN/Tax ID: 383382261
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No