ARTIFICIAL INTELLIENCE QUOTIENT (AIQ)

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: N/A
Agency Tracking Number: 4058
Amount: $230,000.00
Phase: Phase II
Program: SBIR
Awards Year: 1987
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
Klein Associates Inc.
Po Box 264, Yellow Springs, OH, 45387
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Gary A Klein
 (513) 767-2691
Business Contact
Phone: () -
Research Institution
N/A
Abstract
THIS PROJECT IS INTENDED TO IDENTIFY MEANS OF EVALUATING ARTIFICIAL INTELLIGENCE SYSTEMS BY CONTRASTING THEIR ACTUAL LEVEL OF PERFORMANCE TO THE LEVEL THAT WOULD HAVE BEEN EXPECTED FOR THEM. IN SOME WAYS, THE CONCEPT IS RELATED TO THE INTELLIGENCE QUOTIENT, WHICH IS A RATIO OF MENTAL AGE TO CHRONOLOGICAL AGE, A COMPARISON OF THE PERFORMANCE NORMS TO THE INDIVIDUAL PERFORMANCE LEVEL. FOLLOWING THIS CONCEPT, THE AIQ WOULD COMPARE THE PERFORMANCE OF AN AI SYSTEM WITH PERFORMANCE NORMS. THE CRITICAL TASKS ARE TO SELECT A RANGE OF PERFORMANCE EVALUATION TESTS AND TO DEVELOP A MEANS OF GENERATING NORMS FOR A SPECIFIC AI SYSTEM. THE APPROACH SELECTED WILL RELY ON COMPARISONBASED PREDICTION METHODS TO ESTABLISH THE PERFORMANCE NORMS AND WILL SELECT TASK ANALYTIC PROCEDURES FOR SYNTHESIZING A PERFORMANCE EVALUATION TEST BATTERY FOR ANY SPECIFIC AI DOMAIN. SUCCESSFUL DEMONSTRATION OF THE FEASIBILITY OF THESE METHODS WILL LEAD TO A PHASE II DEVELOPMENT OF A GENERALIZED PERFORMANCE TEST BATTERY, GENERALIZED PERFORMANCE NORMS, AND THE ESTABLISHMENT OF A DATA BASE TO UPDATE PERFORMANCE NORMS TO REFLECT TECHNOLOGICAL PROGRESS. THE PRODUCTS OF THIS RESEARCH WOULD BE THE GENERATION OF AN AIQ METHODOLOGY AND THE COLLECTION OF DATE TO MAKE THE METHODOLOGY WORK.

* information listed above is at the time of submission.

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