A Text-to-Game Engine for UGC-Based Role-Playing Games
Lei Zhang, Xuezheng Peng, Shuyi Yang, Feiyang Wang

TL;DR
This paper presents a novel text-to-game engine leveraging foundation models to generate multi-modal RPG experiences from textual inputs, enabling scalable, dynamic, and user-driven game creation.
Contribution
It introduces a new framework and the Zagii engine that transform simple text into complex, multi-modal RPGs, demonstrating scalability and real-time adaptability.
Findings
Powered hundreds of diverse RPG games
Facilitated tens of thousands of gameplay sessions
Showcased scalability and versatility of the engine
Abstract
The transition from professionally generated content (PGC) to user-generated content (UGC) has reshaped various media formats, encompassing formats such as text and video. With rapid advancements in generative AI, a similar transformation is set to redefine the gaming industry, particularly within the domain of role-playing games (RPGs). This paper introduces a novel framework for a text-to-game engine that leverages foundation models to transform simple textual inputs into intricate, multi-modal RPG experiences. The engine dynamically generates game narratives, integrating text, visuals, and mechanics, while adapting characters, environments, and gameplay in realtime based on player interactions. To evaluate and demonstrate the feasibility and versatility of this framework, we developed the 'Zagii' game engine. Zagii has successfully powered hundreds of RPG games across diverse genres…
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Taxonomy
TopicsEducational Games and Gamification · Open Education and E-Learning
MethodsSparse Evolutionary Training
