title: BookWorld: From Novels to Interactive Agent Societies for Creative Story
    Generation
summary: 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/.
paper_authors._id: 680863ed3767f6ed7c969fbf
paper_authors.name: Yiting Ran
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2025-04-23T13:49:09.042Z
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paper_authors.avatarUrl: /avatars/d9c17ce37c32b20bc1eab1e30c4f41f4.svg
paper_authors.fullname: Yiting Ran
paper_authors.type: user
paper_authors.user: alienet0051
paper_authors._id: 680863ed3767f6ed7c969fc0
paper_authors.name: Xintao Wang
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2025-04-23T13:49:15.025Z
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paper_authors.fullname: Xintao Wang
paper_authors.type: user
paper_authors.user: Xintao
paper_authors._id: 680863ed3767f6ed7c969fc1
paper_authors.name: Tian Qiu
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2025-04-23T13:49:22.116Z
paper_authors._id: 65deeec21bfb0176446bd01a
paper_authors.avatarUrl: /avatars/b7cc94475c23b5eb8ade8d64b16a5eb7.svg
paper_authors.fullname: Tian Qiu
paper_authors.type: user
paper_authors.user: Arischid
paper_authors._id: 680863ed3767f6ed7c969fc2
paper_authors.name: Jiaqing Liang
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2025-04-23T13:49:33.674Z
paper_authors._id: 634014022c72fd4ca251fed7
paper_authors.avatarUrl: /avatars/32a85d41f7435f7facfd580d9d124c33.svg
paper_authors.fullname: liangjiaqing
paper_authors.type: user
paper_authors.user: liangjiaqing
paper_authors._id: 680863ed3767f6ed7c969fc3
paper_authors.name: Yanghua Xiao
paper_authors._id: 680863ed3767f6ed7c969fc4
paper_authors.name: Deqing Yang
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2025-04-23T13:49:55.493Z
paper_authors._id: 67cfdd6ef0933e11222747bf
paper_authors.avatarUrl: /avatars/e70f2ee150367e746e32b490d870d526.svg
paper_authors.fullname: 杨德青
paper_authors.type: user
paper_authors.user: YangDeqing
paper_title: BookWorld: From Novels to Interactive Agent Societies for Creative Story
    Generation
paper_summary: 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/.
paper_ai_summary: BookWorld, a system for simulating multi-agent societies based on books, generates high-quality, faithful stories and supports applications like story generation and social simulation.
paper_ai_keywords: large language models LLMs multi-agent systems BookWorld book-based simulations characters fictional worldviews geographical constraints story generation interactive games social simulation