Knowledge base management for experiment planning in molecular genetics

Authors:
Nancy Martin;Peter Friedland;Jonathan King;Mark Stefik
Affiliations:
Computing and Information Science, University of New Mexico, Albuquerque, New Mexico;Computer Science Department, Stanford University, Stanford, California;Computer Science Department, Stanford University, Stanford, California;Computer Science Department, Stanford University, Stanford, California
Venue:
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Year:
1977

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Abstract

The use of a representation language involving schemata and associated derived models has been extended to include all aspects of domain knowledge and strategy and heuristic problem solving knowledge. This uniform representation will allow the extension of knowledge base management techniques for acquisition and retrieval of procedural knowledge.