Computing Social Behaviours Using Agent Models
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Special Track on Knowledge Representation and Reasoning. Pages 2978-2983.
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.
@inproceedings{ijcai2015p421,
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 = {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 = {2978--2983},
year = {2015},
month = {7},
note = {Special Track on Knowledge Representation and Reasoning},
url = {https://ijcai.org/proceedings/2015/421},
}
TY - CPAPER TI - Computing Social Behaviours Using Agent Models AU - Felli, Paolo AU - Miller, Tim AU - Muise, Christian J. AU - Pearce, Adrian R. AU - Sonenberg, Liz T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 2978 EP - 2983 UR - https://ijcai.org/proceedings/2015/421 ER -Copied
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