We introduce a framework for natural language generation in artificial agents that is sensitive to a variety of social and communicative goals. We show how these goals can be ranked and fused by use of a voting algorithm to modulate directive generation in various domains.
@inproceedings{gervitsetal2017cogsci,
title={The Pragmatic Parliament: A Framework for Socially-Appropriate Utterance Selection in Artificial Agents},
author={Felix Gervits and Gordon Briggs and Matthias Scheutz},
year={2017},
booktitle={Proceedings of the 39th Annual Meeting of the Cognitive Science Society},
url={https://hrilab.tufts.edu/publications/gervitsetal2017cogsci.pdf}
}