Knowledge-Based Systems in Artificial Intelligence: 2 Case Studies
Knowledge-Based Systems in Artificial Intelligence: 2 Case Studies
Generating natural language text in response to questions about database structure
Generating natural language text in response to questions about database structure
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
Classification in the KL-ONE knowledge representation system
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 1
XPLAIN: a system for creating and explaining expert consulting programs
Artificial Intelligence
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Following principled techniques in developing expert systems could greatly enhance their understandability for both users and system developers. We argue that the limited explanatory capabilities and difficulties in evolution encountered in current systems stem from their failure to represent knowledge required to design the system. The paper proposes an approach to expert system construction which attempts to identify that tacit knowledge, provide means for capturing it in the knowledge bases of expert systems, and apply it towards more perspicuous machine-generated explanations and more consistent and maintainable system organization.