Trust-Guided Behavior Adaptation Using Case-Based Reasoning
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Best Papers from Sister Conferences Track. Pages 4261-4266.
Abstract
The addition of a robot to a team can be difficult if the human teammates do not trust the robot. This can result in underutilization or disuse of the robot, even if the robot has skills or abilities that are necessary to achieve team goals or reduce risk. To help a robot integrate itself with a human team, we present an agent algorithm that allows a robot to estimate its trustworthiness and adapt its behavior accordingly. As behavior adaptation is performed, using case-based reasoning (CBR), information about the adaptation process is stored and used to improve the efficiency of future adaptations.
@inproceedings{ijcai2015p606,
title = {Trust-Guided Behavior Adaptation Using Case-Based Reasoning},
author = {Floyd, Michael W. and Drinkwater, Michael and Aha, David W.},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {4261--4266},
year = {2015},
month = {7},
note = {Best Papers from Sister Conferences Track},
url = {https://ijcai.org/proceedings/2015/606},
}
TY - CPAPER TI - Trust-Guided Behavior Adaptation Using Case-Based Reasoning AU - Floyd, Michael W. AU - Drinkwater, Michael AU - Aha, David W. T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 4261 EP - 4266 UR - https://ijcai.org/proceedings/2015/606 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
