用小说世界构建可交互的虚拟社会,生成忠实原著的创意故事。
BookWorld: From Novels to Interactive Agent Societies for Creative Story Generation
- 基于小说内容构建角色与世界观,模拟真实虚构世界
- 生成故事质量高且忠于原著,胜率75.36%优于旧方法
- 适合想扩展经典小说世界的创作者与游戏开发者
大型语言模型的进展使多智能体系统实现社会模拟成为可能。以往工作多从零构建角色设定,而对已有小说世界与人物的模拟仍研究不足,尽管其具有重要应用价值。本文提出BookWorld,一个构建与仿真书本为基础的多智能体社会的综合性系统。系统涵盖多样动态角色、虚构世界观、地理约束与变化等现实复杂性。该系统支持故事生成、互动游戏与社会模拟,为拓展和探索经典作品提供新途径。大量实验表明,BookWorld生成的故事兼具创意与高保真度,相比先前方法胜率提升至75.36%。代码已公开于项目页:https://bookworld2025.github.io/。
原文摘要 · Abstract (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/.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。