Research on User-Defined Game Generation Based on AI

Chengyu Ma

2024

Abstract

In today's digital age, the traditional game production process usually requires professional game developers to invest a lot of time and energy, and it is difficult for ordinary users to participate in game creation. This article reviews the existing results of game design using artificial intelligence technology, aiming to lower the threshold of game development for the development of automatic game generation systems for ordinary users, improve development efficiency, enrich players' gaming experience, and promote innovation and development in the game industry. At present, three types of methods have been summarized, namely, methods based on reinforcement learning, methods based on generative adversarial networks, and methods based on convolutional neural networks to achieve auxiliary game design. This study is conducive to promoting the formation of a new entertainment ecology in which all people can participate in creation. This research topic takes user needs as the starting point and integrates artificial intelligence related technologies. It is highly innovative and practical.

Paper Citation

in Harvard Style

Ma C. (2024). Research on User-Defined Game Generation Based on AI. In Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM; ISBN 978-989-758-738-2, SciTePress, pages 122-128. DOI: 10.5220/0013234800004558

in Bibtex Style

@conference{mlscm24,
author={Chengyu Ma},
title={Research on User-Defined Game Generation Based on AI},
booktitle={Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM},
year={2024},
pages={122-128},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013234800004558},
isbn={978-989-758-738-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM
TI - Research on User-Defined Game Generation Based on AI
SN - 978-989-758-738-2
AU - Ma C.
PY - 2024
SP - 122
EP - 128
DO - 10.5220/0013234800004558
PB - SciTePress