A Reactive Approach to Explanation
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Speech and Natural Language. Pages 1504-1509.
Abstract
Explanation is an interactive process, requiring a dialogue between advice-giver and adviceseeker. Yet current expert systems cannot participate in a dialogue with users . In particular these systems cannot clarify misunderstood explanations, elaborate on previous explanations, or respond to follow-up questions in the context of the on-going dialogue. In this paper, we describe a reactive approach to explanation - one that can participate in an on-going dialogue and employs feedback from the user to guide subsequent explanations . Our system plans explanations from a rich set of explanation strategies, recording the system's discourse goals, the plans used to achieve them, and any assumptions made while planning a response . This record provides the dialogue context the system needs to respond appropriately to the user's feedback . We illustrate our approach with examples of disambiguating a follow-up question and producing a clarifying elaboration in response to a misunderstood explanation .
@inproceedings{ijcai1989p240,
title = {A Reactive Approach to Explanation},
author = {Moore, Johanna D. and Swartout, William R.},
booktitle = {Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence, {IJCAI-89}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {N. S. Sridharan},
pages = {1504--1509},
year = {1989},
month = {8},
note = {Speech and Natural Language},
url = {https://ijcai.org/proceedings/1989/240},
}
TY - CPAPER TI - A Reactive Approach to Explanation AU - Moore, Johanna D. AU - Swartout, William R. T2 - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 PB - International Joint Conferences on Artificial Intelligence PY - 1989 SP - 1504 EP - 1509 UR - https://ijcai.org/proceedings/1989/240 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: