书界：从小说到互动智能体社会，助力创意故事生成

BookWorld: From Novels to Interactive Agent Societies for Creative Story Generation

April 20, 2025

作者: Yiting Ran, Xintao Wang, Tian Qiu, Jiaqing Liang, Yanghua Xiao, Deqing Yang

cs.AI

摘要

近期，大型语言模型（LLMs）的进展推动了通过多智能体系统进行社会模拟的研究。以往的研究多聚焦于从零构建智能体社会，赋予智能体全新定义的角色。然而，对于已有虚构世界及角色的模拟仍处于探索不足的状态，尽管其具有显著的实用价值。本文中，我们介绍了BookWorld，一个用于构建和模拟基于书籍的多智能体社会的综合系统。BookWorld的设计涵盖了现实世界的复杂细节，包括多样且动态的角色、虚构的世界观、地理限制及其变迁等。该系统支持多种应用场景，如故事生成、互动游戏及社会模拟，为扩展和探索深受喜爱的虚构作品提供了新颖途径。通过大量实验，我们证明BookWorld在保持对原著忠实度的同时，能够创作出富有创意且高质量的故事，以75.36%的胜率超越以往方法。本文代码可在项目页面获取：https://bookworld2025.github.io/。

English

Recent advances in large language models (LLMs) have enabled social simulation through multi-agent systems. Prior efforts focus on agent societies created from scratch, assigning agents with newly defined personas. However, simulating established fictional worlds and characters remain largely underexplored, despite its significant practical value. In this paper, we introduce BookWorld, a comprehensive system for constructing and simulating book-based multi-agent societies. BookWorld's design covers comprehensive real-world intricacies, including diverse and dynamic characters, fictional worldviews, geographical constraints and changes, e.t.c. BookWorld enables diverse applications including story generation, interactive games and social simulation, offering novel ways to extend and explore beloved fictional works. Through extensive experiments, we demonstrate that BookWorld generates creative, high-quality stories while maintaining fidelity to the source books, surpassing previous methods with a win rate of 75.36%. The code of this paper can be found at the project page: https://bookworld2025.github.io/.