Artificial Intelligence: Structures and Strategies for Complex Problem Solving
Artificial Intelligence: Structures and Strategies for Complex Problem Solving
Expert Systems
NEOMYCIN: reconfiguring a rule-based expert system for application to teaching
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Reconstructive explanation: explanation as complex problem solving
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Message automata for messages with variants, and methods for their translation
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Pre-conceptual schema: a conceptual-graph-like knowledge representation for requirements elicitation
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Content determination through planning for flexible game tutorials
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
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We present a domain-independent method for generation of natural language explanations of rules in expert systems. The method is based on explanatory rules written in a procedural formal language, which build the explanation from predefined natural language texts fragments. For better style, a specific text fragment is randomly selected from a group of synonymous expressions. We have implemented 16 groups of explanatory rules and 74 groups of explanatory texts containing about 200 text fragments.