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

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$49,250.00
Award Year:
1988
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
9105
Agency Tracking Number:
9105
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1600 Wilson Blvd - Ste 500, Arlington, VA, 22209
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
DR THOMAS E SHIELDS
(703) 284-3877
Business Contact:
() -
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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