Analyzing the Effectiveness of Stereotypes

Nanda Sreenivas, Robin Cohen

2023

Abstract

In this paper, we present an agent-based model to understand the effectiveness of stereotpyes in supporting decision making of users in online settings such as e-marketplaces. We define four different agents types that combine information from stereotypes and past interactions in different ways. Through simulation, we find that agents that use their memory primarily and stereotypes as a last resort perform the best. We discuss how this work relates to that of trust modeling in multiagent systems and reflect briefly on how the emotional makeup of a user may influence what is best for decisions about stereotype use.

Paper Citation

in Harvard Style

Sreenivas N. and Cohen R. (2023). Analyzing the Effectiveness of Stereotypes. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-623-1, pages 181-188. DOI: 10.5220/0011623300003393

in Bibtex Style

@conference{icaart23,
author={Nanda Sreenivas and Robin Cohen},
title={Analyzing the Effectiveness of Stereotypes},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2023},
pages={181-188},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011623300003393},
isbn={978-989-758-623-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Analyzing the Effectiveness of Stereotypes
SN - 978-989-758-623-1
AU - Sreenivas N.
AU - Cohen R.
PY - 2023
SP - 181
EP - 188
DO - 10.5220/0011623300003393