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KNOWLEDGE BASED DECISION ANALYTIC STRUCTURE FOR DECISION AIDING

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
8241
Program Year/Program:
1989 / SBIR
Agency Tracking Number:
8241
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Advanced Decision Systems
1500 Plymouth St Mountain View, CA 94043
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1989
Title: KNOWLEDGE BASED DECISION ANALYTIC STRUCTURE FOR DECISION AIDING
Agency / Branch: DOD / USAF
Contract: N/A
Award 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.

Principal Investigator:

Cindy A O'reilly
4159413912

Business Contact:

Small Business Information at Submission:

Advanced Decision Systems
1500 Plymouth St Mountain View, CA 94043

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No