SOFTWARE TECHNOLOGY TO SUPPORT REAL-TIME EMBEDDED ARTIFICIAL INTELLIGENCE BASED APPLICATIONS

Award Information
Agency: Department of Defense
Branch: Army
Contract: N/A
Agency Tracking Number: 9105
Amount: $49,250.00
Phase: Phase I
Program: SBIR
Awards Year: 1988
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
1600 Wilson Blvd - Ste 500, Arlington, VA, 22209
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 DR THOMAS E SHIELDS
 (703) 284-3877
Business Contact
Phone: () -
Research Institution
N/A
Abstract
THE CONSTRAINTS OF REAL-TIME APPLICATIONS CANNOT BE SATIFIED SIMPLY BY CHOOSING A MORE EFFICIENT IMPLEMENTATION OF "CLASSICAL" AI TECHNIQUES. THE APPLICATION MUST BE EXPLICITLY ANALYYED, DESIGNED AND BUILT FOR REAL-TIME PERFORMANCE. THE USE OF GENERALIZED AI STRUCTURES AND REASONING PARADIGMS CANNOT MEET REAL-TIME PERFORMANCE REQUIREMENTS, ESPECIALLY ON CONVENTIONAL, STANDARD MILITARY HARDWARE. THE SCOPE OF THE PROPOSED EFFORT IS TO EXPLORE THE FEASIBILITY OF ALTERNATIVE SOFTWARE ARCHITECTURES AND STRATEGIES FOR IMPLEMENTATION OF REAL-TIMME SYMBOLIC COMPUTATIONS. THE CLASS OF COMPUTATION TO BE ADDRESSED ARE THOSE WHICH ARE IMPLEMENTED AS SEARCH-INTENSIVE, NP-COMPLETE ALGORITHMS. THE NECESSITY TO USE ALGORITHMS OF THIS TYPE RAISES THE QUESTION OF WHETHER OR NOT REAL-TIME PERFORMANCE CAN EVER BE RELIABLY REALIZED BY AI APPLICATIONS.

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

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