Optimization Strategies for Role-Playing Games Based on Large Language Models

Bowei Chen

2025

Abstract

With the booming development of the video game industry around the world, it has become an important industry that cannot be ignored. The evolution of video games and the close combination of computer technology have promoted the continuous advancement of game innovation. In recent years, with the rapid development of large language models (LLMs), its application potential in various fields has gradually emerged. Especially in the game industry, the combination of LLMs and game mechanisms has triggered extensive discussions. In this context, this paper selects role-playing games (RPGs) as the research object to explore the application of LLMs in this type of game and the possible impact. RPGs emphasize the interaction and emotional experience between players and virtual characters, and they show a high degree of complexity and innovation needs in terms of storylines, character development, and dialogue systems. This paper aims to investigate the practical application of LLMs in RPGs, analyze their potential in improving game experience, enhancing character interaction, and enriching plot development, and deeply explore the advantages of their application, in order to provide a reference for research and practice in this field.

Paper Citation

in Harvard Style

Chen B. (2025). Optimization Strategies for Role-Playing Games Based on Large Language Models. In Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-765-8, SciTePress, pages 632-637. DOI: 10.5220/0013703100004670

in Bibtex Style

@conference{icdse25,
author={Bowei Chen},
title={Optimization Strategies for Role-Playing Games Based on Large Language Models},
booktitle={Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2025},
pages={632-637},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013703100004670},
isbn={978-989-758-765-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Optimization Strategies for Role-Playing Games Based on Large Language Models
SN - 978-989-758-765-8
AU - Chen B.
PY - 2025
SP - 632
EP - 637
DO - 10.5220/0013703100004670
PB - SciTePress