The Art of Artificial Intelligence: Themes and Case Studies of Knowledge Engineering
Proceedings of the Fifth International Joint Conference on Artificial Intelligence. Invited Panel. Pages 1014-1028.
Abstract
The knowledge engineer practices the art of bringing the principles and tools of AI research to bear on difficult applications problems requiring experts' knowledge for their solution. The technical issues of acquiring this knowledge, representing it, and using it appropri : ·. tely to construct and explain lines-of-reasoning, are important problems in the design of knowledgebased systems. Various systems tha .t have achieved expert level performance in scientific and medical inference illuminate the art of knowledge engineering and its parent science, Artificial Intelligence.
@inproceedings{ijcai1977p231,
title = {The Art of Artificial Intelligence: Themes and Case Studies of Knowledge Engineering},
author = {Feigenbaum, Edward A.},
booktitle = {Proceedings of the Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-77}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Raj Reddy},
pages = {1014--1028},
year = {1977},
note = {Invited Panel},
url = {https://ijcai.org/proceedings/1977/231},
}
TY - CPAPER TI - The Art of Artificial Intelligence: Themes and Case Studies of Knowledge Engineering AU - Feigenbaum, Edward A. T2 - Proceedings of the Fifth International Joint Conference on Artificial Intelligence, IJCAI-77 PB - International Joint Conferences on Artificial Intelligence PY - 1977 SP - 1014 EP - 1028 UR - https://ijcai.org/proceedings/1977/231 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: