Case-Based Techniques Used for Dialogue Understanding and Planning in a Human-Robot Dialogue System
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 1600-1604.
Abstract
We describe an approach to the use of case-based techniques for natural language understanding and for action planning in a system for dialogue between a human and a robot, which in our case is a UAV (unmanned aerial vehicle). A single case base and case-based reasoning engine is used both for understanding and for planning actions by the UAV. This approach has been developed through the work on an experimental dialogue system, called CEDERIC. Dialogue experiments where a number of users have solved tasks by dialogue with this system showed very adequate success rates, while at the same time they indicated a few weak points in the system that could then easily be corrected.
@inproceedings{ijcai2007p258,
title = {Case-Based Techniques Used for Dialogue Understanding and Planning in a Human-Robot Dialogue System},
author = {Eliasson, Karolina},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {1600--1604},
year = {2007},
url = {https://ijcai.org/proceedings/2007/258},
}
TY - CPAPER TI - Case-Based Techniques Used for Dialogue Understanding and Planning in a Human-Robot Dialogue System AU - Eliasson, Karolina T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 1600 EP - 1604 UR - https://ijcai.org/proceedings/2007/258 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: