An Expert System Using Nonmonotonic Techniques for Beneefits Inquiry in the Insurance Industry
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Expert Systems. Pages 655-660.
Abstract
This paper describes Benlnq, an expert system for benefits inquiry in the insurance industry. Benlnq is designed to be used by both customer service representatives, who answer customers' questions in real time, and policy modifiers, who update insurance products. The main challenges were the design of the KR structure -in particular, representing a huge knowledge base at varying levels of granularity, and the development of the reasoning methods - in particular, developing a method that determines which insurance regulations apply to an insurance service. This required nonmonotonic reasoning, which we modeled using an extension of inheritance methods. Benlnq represents one of the few large scale industrial applications that explicitly uses formal nonmonotonic reasoning techniques.
@inproceedings{ijcai1997p96,
title = {An Expert System Using Nonmonotonic Techniques for Beneefits Inquiry in the Insurance Industry},
author = {Morgenstern, Leora and Singh, Moninder},
booktitle = {Proceedings of the Fifteenth International Joint Conference on
Artificial Intelligence, {IJCAI-97}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Martha E. Pollack},
pages = {655--660},
year = {1997},
note = {Expert Systems},
url = {https://ijcai.org/proceedings/1997/96},
}
TY - CPAPER TI - An Expert System Using Nonmonotonic Techniques for Beneefits Inquiry in the Insurance Industry AU - Morgenstern, Leora AU - Singh, Moninder T2 - Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97 PB - International Joint Conferences on Artificial Intelligence PY - 1997 SP - 655 EP - 660 UR - https://ijcai.org/proceedings/1997/96 ER -Copied
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