In this section
@inproceedings{Vasileiou:2024,
author = {Vasileiou, SL and Kumar, A and Yeoh, W and Son, TC and Toni, F},
title = {DR-HAI: argumentation-based dialectical reconciliation in human-AI interactions},
url = {https://openreview.net/forum?id=LZHcNjVXA51},
year = {2024}
}
TY - CPAPER
AB - In this paper, we introduce DR-HAI – a novelargumentation-based framework designed to extend model reconciliation approaches, commonlyused in explainable AI planning, for enhancedhuman-AI interaction. By adopting a multi-shotreconciliation paradigm and not assuming a-prioriknowledge of the human user’s model, DR-HAI enables interactive reconciliation to address knowledge discrepancies between an explainer and an explainee. We formally describe the operational semantics of DR-HAI, and provide theoretical guarantees related to termination and success
AU - Vasileiou,SL
AU - Kumar,A
AU - Yeoh,W
AU - Son,TC
AU - Toni,F
PY - 2024///
TI - DR-HAI: argumentation-based dialectical reconciliation in human-AI interactions
UR - https://openreview.net/forum?id=LZHcNjVXA51
UR - http://hdl.handle.net/10044/1/104816
ER -
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