Irrelevance Reasoning In Knowledge Based Systems

  title={Irrelevance Reasoning In Knowledge Based Systems},
  author={Richard Fikes},
Speeding up inferences made from large knowledge bases is a key to scaling up knowledge based systems. To do so, a system must have the ability to automatically identify and ignore information that is irrelevant to a speci c task. Identifying irrelevant knowledge is also key to enabling reasoning in environments in which several systems (and their respective knowledge bases) interoperate. This dissertation considers the problem of reasoning about irrelevance of knowledge in a principled and e… CONTINUE READING
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