TY - JOUR AU - Stein, Lynn Andrea PY - 1996/12/15 Y2 - 2024/03/29 TI - Science and Engineering in Knowledge Representation and Reasoning JF - AI Magazine JA - AIMag VL - 17 IS - 4 SE - Articles DO - 10.1609/aimag.v17i4.1242 UR - https://ojs.aaai.org/aimagazine/index.php/aimagazine/article/view/1242 SP - 77 AB - 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). ER -