An Expert System for Indications and Warning Analysis
Proceedings of the Eighth International Joint Conference on Artificial Intelligence. Expert Systems. Pages 259-261.
Abstract
An expert system was constructed to aid the military intelligence analyst in performing the Indications & Warning task: assimilating hundreds of incoming reports, and predicting where and when an armed conflict might erupt next. The system currently contains 60 condition/action rules and 170 other frames that deal with the sorts of objects and processes that are being repmted on. It employs a two-dimensional Blackboard to accomodate reports from very different sources, to efficiently trigger relevant rules, and to keep the human analyst abreast of the situation. In the process of building this system, and testing it with professional analysts, - we were led to some nonstandard design decisions which may be of general AI interest: (1) each rule has strong and weak conditions, which are run in separate worlds. By examining which important, high-level conclusions differ, it is possible to pinpoint which few specific facts should be doublechecked (i.e., facts whose certainty the system is very sensitive to); (2) each rule is represented as a frame, facilitating browsing through the rules, adding new rules, and assigning credit and blame to rules.
@inproceedings{ijcai1983p64,
title = {An Expert System for Indications and Warning Analysis},
author = {Lenat, Douglas B. and Clarkson, Albert and Kiremidjian, Garo},
booktitle = {Proceedings of the Eighth International Joint Conference on
Artificial Intelligence, {IJCAI-83}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Alan Bundy},
pages = {259--261},
year = {1983},
note = {Expert Systems},
url = {https://ijcai.org/proceedings/1983/64},
}
TY - CPAPER TI - An Expert System for Indications and Warning Analysis AU - Lenat, Douglas B. AU - Clarkson, Albert AU - Kiremidjian, Garo T2 - Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI-83 PB - International Joint Conferences on Artificial Intelligence PY - 1983 SP - 259 EP - 261 UR - https://ijcai.org/proceedings/1983/64 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: