SCIENCE AND ENGINEERING IN KNOWLEDGE REPRESENTATION AND REASONING

As a field, knowledge representation has often been accused of being o ff in a theoretical noman's land, removed from, and largely unrelated to, the central issues in AI. This article argues that recent trends i n KR instead demonstrate the benefits of the interplay between science and engineering, a lesson from which all Al could benefit. This artic le grew out of a survey talk on the Third International Conference on Knowledge Representation and Reasoning (KR'92) (Nebel, Rich, and Swart out 1992) that I presented at the Thirteenth International Joint Confe rence on Artificial Intelligence (IJCAI'93).