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KNOWLEDGE BASED DECISION ANALYTIC STRUCTURE FOR DECISION AIDING
- Small Business Information
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Woman-Owned: NoMinority-Owned: NoHUBZone-Owned: No
- Phase 2
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Fiscal Year: 1989Title: KNOWLEDGE BASED DECISION ANALYTIC STRUCTURE FOR DECISION AIDINGAgency / Branch: DOD / USAFContract: N/AAward Amount: $499,994.00
Abstract:
COMPLEX AIR FORCE COMMAND AND CONTROL PROBLEMS REQUIRE ADVANCED DECISION AIDING TECHNOLOGY TO GUIDE THE USERS THROUGH PROBLEM FORMULATION, SOLUTION, AND EXPLANATION PROCESS. SUCH PROBLEM AREAS AS TARGET PRIORITIZATION, RESOURCE ASSIGNMENT, PATH PLANNING, ETC., DO NOT ALWAYS HAVE NEAT, EASILY DEFINABLE PROBLEM STRUCTURES. IN THE PAST, DECISION ANALYSIS TECHNIQUES HAVE BEEN APPLIED TO VARIOUS PROBLEMS SUCH AS THESE, BUT SUCH TECHNIQUES OFTEN LACK THE FLEXIBILITY AND CAPABILITY NEEDED TO SOLVE SATISFACTORY THE PROBLEM AT HAND. MORE RECENTLY, ARTIFICIAL INTELLIGENCE (AI) RESEARCH HAS BEEN APPLIED TO THE SAME PROBLEM AREAS TO TRY TO FILL THE GAPS DECISION ANALYSIS DID NOT. BUT NEITHER THE APPLICATION OF DECISION ANALYSIS NOR ARTIFICIAL INTELLIGENCE ALONE HAS RESULTED IN A COMPLETE DECISION AIDING ENVIRONMENT THAT ALLOWS THE USER TO OBTAIN BOTH THE SOLUTION OPTIMALITY AND THE FLEXIBILITY HE OR SHE NEEDS. AN INTEGRATION OF THE BEST FEATURES OF BOTH TECHNOLOGIES IS NEEDED. THE OBJECTIVE OF THIS PROJECT IS TO DEFINE A STRUCTURE FOR A DECISION AIDING ENVIRONMENT WHICH PROVIDES FOR THE INTEGRATION OF THESE TWO TECHNOLOGIES.Small Business Information at Submission:Principal Investigator:
Cindy A O'reilly
4159413912Business Contact:
Advanced Decision Systems
1500 Plymouth St Mountain View, CA 94043EIN/Tax ID:DUNS: N/ANumber of Employees:Woman-Owned: NoMinority-Owned: NoHUBZone-Owned: No
Award Information
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Agency: Department of Defense |
Branch: Air Force |
Award ID: 8241 |
Program Year/Program: 1989 / SBIR |
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Agency Tracking Number: 8241 |
Solicitation Year: N/A |
Solicitation Topic Code: N/A |
Solicitation Number: N/A |