Computing Social Behaviours Using Agent Models
Abstract
Agents can be thought of as following a social behaviour, depending on the context in which they are interacting. We devise a computationally grounded mechanism to represent and reason about others in social terms, reflecting the local perspective of an agent (first-person view), to support both stereotypical and empathetic reasoning. We use a hierarchy of agent models to discriminate which behaviours of others are plausible, and decide which behaviour for ourselves is socially acceptable, i.e. conforms to the social context. To this aim, we investigate the implications of considering agents capable of various degrees of theory of mind, and discuss a scenario showing how this affects behaviour.
Cite
Text
Felli et al. "Computing Social Behaviours Using Agent Models." International Joint Conference on Artificial Intelligence, 2015.Markdown
[Felli et al. "Computing Social Behaviours Using Agent Models." International Joint Conference on Artificial Intelligence, 2015.](https://mlanthology.org/ijcai/2015/felli2015ijcai-computing/)BibTeX
@inproceedings{felli2015ijcai-computing,
title = {{Computing Social Behaviours Using Agent Models}},
author = {Felli, Paolo and Miller, Tim and Muise, Christian J. and Pearce, Adrian R. and Sonenberg, Liz},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2015},
pages = {2978-2984},
url = {https://mlanthology.org/ijcai/2015/felli2015ijcai-computing/}
}