Artificial intelligence (2nd ed.)
Artificial intelligence (2nd ed.)
Principles of artificial intelligence
Principles of artificial intelligence
Interactive Editing Systems: Part I
ACM Computing Surveys (CSUR)
Handbook of AI
Pattern-Directed Inference Systems
Pattern-Directed Inference Systems
Beyond ALBE/P: Language neutral form
ICSE '81 Proceedings of the 5th international conference on Software engineering
Graphic interfaces for knowledge-based system development
CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Pasta-3's graphical query language: direct manipulation cooperative queries, full expressive power
VLDB '89 Proceedings of the 15th international conference on Very large data bases
A new metaphor for the graphical explanation of forward-chaining rule execution
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
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As the technology of rule-based inference mechanisms matures, knowledge acquisition—the creation, structuring, and verification of rules—becomes increasingly important. The accuracy and completeness of the rules in the knowledge base determine expert system performance, and the cost of acquiring that knowledge base dominates all other hardware and software costs in practical systems. To reduce knowledge acquisition time and error rate, a new interactive graphics interface for rules is being designed and implemented in GE Corporate Research and Development. In the new system, each set of rules is represented as an AND/OR graph and parts of the rule base are displayed on a CRT screen as an AND/OR tree. A user—even an unsophisticated user—can navigate the AND/OR graph, identify nodes to be modified, analyze the behavior of the graph, verify its correctness graphically, and follow the execution of inference engines.