Science and Engineering in Knowledge Representation and Reasoning

  • Lynn Andrea Stein

Abstract

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).
Published
1996-12-15
How to Cite
Stein, L. A. (1996). Science and Engineering in Knowledge Representation and Reasoning. AI Magazine, 17(4), 77. https://doi.org/10.1609/aimag.v17i4.1242
Section
Articles