Extending HLSR to Support Scaling Up to Complex Models for Training, Simulation, and Robotics
Agency / Branch:
DOD / NAVY
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.
Small Business Information at Submission:
SOAR TECHNOLOGY, INC.
3600 Green Court Suite 600 Ann Arbor, MI 48105
Number of Employees: