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SandKASt (Sandia Knowledge Acquisition System): An automated knowledge acquisition system

Conference ·
OSTI ID:6394994
SandKASt (Sandia Knowledge Acquisition System) is a knowledge acquisition system that allows the expert to directly build a knowledge base. It is based on a graph formalism that delineates the problem structure and dependencies of the heuristics and highlights in consistencies or omissions in the knowledge base. The graph formalism evolved through our experience in developing a rule-based system for fault diagnosis of electronic components in a large system. In SandKASt, the knowledge base is displayed as a directed acyclic graph. In this graph, a node represents a state of the troubleshooting session, or context, with an associated set of possible faults. An arc represents a test to be applied in the context of the source node. The graph can be expanded depth-first, breadth-first or by adding a single node. Graph pruning and information retrieval can be performed at any time during the knowledge acquisition session. With the development of SandKASt, we sought to involve the expert directly in the system development and maintenance. We find that SandKASt allows more efficient and productive knowledge acquisition sessions. The graph structure provides a formalism for viewing the knowledge acquisition process and allows efficient storage of the diagnostic heuristics without redundancy.
Research Organization:
Sandia National Labs., Albuquerque, NM (USA)
DOE Contract Number:
AC04-76DP00789
OSTI ID:
6394994
Report Number(s):
SAND-87-0364C; CONF-870734-1; ON: DE87006127
Country of Publication:
United States
Language:
English

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