SBIR-STTR Award

Expert Systems Through a Universal Knowledge Frame
Award last edited on: 10/26/2017

Sponsored Program
SBIR
Awarding Agency
DOD : Army
Total Award Amount
$49,000
Award Phase
1
Solicitation Topic Code
A83-05K
Principal Investigator
David L Sallach

Company Information

Synergy Systems

2022 Avenue A
Kearney, NE 68847
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Location: Single
Congr. District: 03
County: Buffalo

Phase I

Contract Number: N/A
Start Date: 00/00/00    Completed: 00/00/00
Phase I year
1983
Phase I Amount
$49,000
The project will assess several design alternatives in the development of expert systems and, more generally, machine intelligence. Specifically, a universal knowledge frame will be evaluated as a means of: 1) reducing the ad hoc nature of the knowledge base of expert systems, 2) facilitating the production of new expert systems, 3) permitting the interaction of expert systems from within their distinctive domains, and 4) allowing for more robust semantic processing capability. A limited protype of the universal knowledge frame will be implemented through a relational database (extended to support semantic data modeling) coupled with rule-based control mechanisms defined in prolog. Each of the implementational techniques will be assessed, and the terms of practical software development potential.

Phase II

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Start Date: 00/00/00    Completed: 00/00/00
Phase II year
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