BookWorld: From Novels to Interactive Agent Societies for Creative Story
  Generation
Authors: name: Yiting Ran, name: Xintao Wang, name: Tian Qiu, name: Jiaqing Liang, name: Yanghua Xiao, name: Deqing Yang

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/.