Worst-case Analysis of Set Union Algorithms
Journal of the ACM (JACM)
Knowledge Retrieval as Limited Inference
Proceedings of the 6th Conference on Automated Deduction
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 1
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 1
Knowledge compilation using horn approximations
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
Approximate Inference In Default Logic And Circumscription
Fundamenta Informaticae
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This paper proposes a method for adapting the traditional devices of model theory to the task of specifying the input/output behavior of artificial intelligence reasoning programs when viewed as inference engines. The method is illustrated by specifying two programs, one a toy example and the other a program for retrieving information from a declarative knowledge base. Close examination shows that many intuitions about the properties of a retriever can be stated rigorously in terms of inference and that the model-theoretic specification can then be used to prove that the retriever has these properties.