A Connexionist Model for Emotions in Digital Agents

Jean-Claude Heudin

Abstract

This paper introduces a bio-inspired model of affects for digital agents. This model provides three distinct layers: emotions as short-term affect, moods as medium-term affect, and personality as a long-term affect. It describes an implementation based on a connexionist architecture using a dedicated neural network designed for the “Living Mona Lisa” research project.

References

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Paper Citation


in Harvard Style

Heudin J. (2016). A Connexionist Model for Emotions in Digital Agents . In Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-172-4, pages 272-279. DOI: 10.5220/0005669202720279


in Bibtex Style

@conference{icaart16,
author={Jean-Claude Heudin},
title={A Connexionist Model for Emotions in Digital Agents},
booktitle={Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2016},
pages={272-279},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005669202720279},
isbn={978-989-758-172-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - A Connexionist Model for Emotions in Digital Agents
SN - 978-989-758-172-4
AU - Heudin J.
PY - 2016
SP - 272
EP - 279
DO - 10.5220/0005669202720279