Building Emotional Agents for Strategic Decision Making

Bexy Alfonso, Emilio Vivancos, Vicente Botti, Penélope Hernández

2015

Abstract

Experimental economics has many works that demonstrate the influence of emotions and affective issues on the process of human strategic decision making. Personality, emotions and mood produce biases on what would be considered the strategic solution (Nash equilibrium) to many games. %CAMBIO% Thus considering these issues on simulations of human behavior may produce results more aligned with real situations. We think that computational agents are a suitable %CAMBIO% technology to simulate such phenomena. We propose to use O3A, an Open Affective Agent Architecture to model rational and affective agents, in order to perform simulations where agents must take decisions as close as possible to humans. The approach evaluation is performed trough the classical `prisoner dilemma' and `trust' games.

Paper Citation

in Harvard Style

Alfonso B., Vivancos E., Botti V. and Hernández P. (2015). Building Emotional Agents for Strategic Decision Making . In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-074-1, pages 390-397. DOI: 10.5220/0005204703900397

in Bibtex Style

@conference{icaart15,
author={Bexy Alfonso and Emilio Vivancos and Vicente Botti and Penélope Hernández},
title={Building Emotional Agents for Strategic Decision Making},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2015},
pages={390-397},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005204703900397},
isbn={978-989-758-074-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Building Emotional Agents for Strategic Decision Making
SN - 978-989-758-074-1
AU - Alfonso B.
AU - Vivancos E.
AU - Botti V.
AU - Hernández P.
PY - 2015
SP - 390
EP - 397
DO - 10.5220/0005204703900397