Heating up Interactions in an Agent-Based Simulation to Ensure Narrative Interest

Gonzalo Méndez, Pablo Gervás

2025

Abstract

Multi-agent systems have become important sources of inspiration for narrative generation systems, with significant growth in solutions based on story sifting: identifying the subset of events generated by such a system that is worthy of being told as a story. Existing systems simulate the romantic behaviour of agents based on simple rules that consider models of social norms and relations, and the evolution of affinities between agents. The present paper describes an extension to one such simulation that inserts several sources of conflict between characters to induce more interesting situations that allows the creation of more engaging stories. The system is empirically shown to give rise with much higher scores on metrics for narrative interest.

Paper Citation

in Harvard Style

Méndez G. and Gervás P. (2025). Heating up Interactions in an Agent-Based Simulation to Ensure Narrative Interest. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 693-703. DOI: 10.5220/0013308800003890

in Bibtex Style

@conference{icaart25,
author={Gonzalo Méndez and Pablo Gervás},
title={Heating up Interactions in an Agent-Based Simulation to Ensure Narrative Interest},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2025},
pages={693-703},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013308800003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Heating up Interactions in an Agent-Based Simulation to Ensure Narrative Interest
SN - 978-989-758-737-5
AU - Méndez G.
AU - Gervás P.
PY - 2025
SP - 693
EP - 703
DO - 10.5220/0013308800003890
PB - SciTePress