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Science and Engineering in Knowledge Representation and Reasoning
  • Lynn Andrea Stein, Franklin W. Olin College of Engineering
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As a field, knowledge representation has often been accused of being off in a theoretical no-man's land, removed from, and largely unrelated to, the central issues in AI. This article argues that recent trends in KR instead demonstrate the benefits of the interplay between science and engineering, a lesson from which all AI could benefit. This article grew out of a survey talk on the Third International Conference on Knowledge Representation and Reasoning (KR-92) (Nebel, Rich, and Swartout 1992) that I presented at the Thirteenth International Joint Conference on Artificial Intelligence (IJCAI-93).


© 1996 Association for the Advancement of Artificial Intelligence (AAAI). This article was published in AI Magazine, vol. 17, no. 4, p. 77-83 and may be found here.

Citation Information
Lynn Andrea Stein. "Science and Engineering in Knowledge Representation and Reasoning" (1996)
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