MULTIPLE FORMS OF KNOWLEDGE REPRESENTATION WITHIN A SINGLE EXPERT SYSTEM

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$509,000.00
Award Year:
1986
Program:
SBIR
Phase:
Phase II
Contract:
n/a
Award Id:
2428
Agency Tracking Number:
2428
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
5113 Leesburg Pike, Suite 700, Falls Church, VA, 22041
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Dr Kenneth L Hamilton
(703) 998-0922
Business Contact:
() -
Research Institute:
n/a
Abstract
THERE ARE SEVEN PRINCIPAL METHODS OF REPRESENTING KNOWLEDGE IN AN EXPERT OR OTHERWISE INTELLIGENT COMPUTER SYSTEM, EACH METHOD BEST SUITED TO A DIFFERENT KIND OF KNOWLEDGE. THEY ARE: LOGIC, PROCEDURAL REPRESENTATIONS, SEMANTIC NETWORKS, PRODUCTION SYSTEMS, DIRECT (ANALOGICAL) REPRESENTATION, SEMANTIC PRIMITIVES, AND FRAMES AND SCRIPTS. THESE HAVE MAINLY BEEN USED INDIVIDUALLY. HOWEVER, PROBLEM-SOLVING (A MAJOR GOAL OF INTELLIGENT SYSTEMS) OFTEN REQUIRES THE USE OF MORE THAN ONE KNOWLEDGE. IS IT POSSIBLE FOR AN INTELLIGENT SYSTEM TO EMPLOY MORE THAN ONE KNOWLEDGE REPRESENTATION SCHEME AND TO USE KNOWLEDGE FROM MORE THAN ONE SCHEME IN ITS REASONING OR PROBLEM-SOLVING? PHASE I PROPOSAL IS TO SELECT TWO REPRESENTATION SCHEMES AND TO DESIGN RESEARCH PROCEDURES TO USE THEM COOPERATIVELY IN PROBLEM-SOLVING. EVAULATIONS WILL BE EXPLORED BOTH OF REPRESENTING DIFFERENT KNOWLEDGE IN DIFFERENT KNOWLEDGE REPRESENTATION SCHEMES AND OF REPRESENTING THE SAME KNOWLEDGE IN TWO DIFFERENT KNOWLEDGE REPRESENTATION SCHEMES.

* information listed above is at the time of submission.

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