Human writers often begin their stories with an overarching mental scene, where they envision the interactions between characters and their environment. Inspired by this creative process, we propose a novel approach to long-form story generation, termed hybrid bottom-up long-form story generation, using multi-agent simulations. In our method, agents interact within a dynamic sandbox environment, where their behaviors and interactions with one another and the environment generate emergent events. These events form the foundation for the story, enabling organic character development and plot progression. Unlike traditional top-down approaches that impose rigid structures, our hybrid bottom-up approach allows for the natural unfolding of events, fostering more spontaneous and engaging storytelling. The system is capable of generating stories exceeding 10,000 words while maintaining coherence and consistency, addressing some of the key challenges faced by current story generation models. We achieve state-of-the-art performance across several metrics. This approach offers a scalable and innovative solution for creating dynamic, immersive long-form stories that evolve organically from agent-driven interactions.

翻译：人类作家在创作故事时，通常始于一个整体的心理场景，在其中设想角色之间及其与环境的互动。受此创作过程的启发，我们提出了一种新颖的长故事生成方法，称为混合自底向上长故事生成，该方法利用多智能体模拟。在我们的方法中，智能体在一个动态的沙盒环境中互动，它们的行为以及彼此之间、与环境之间的互动会涌现出事件。这些事件构成了故事的基础，使得角色发展和情节推进能够有机地进行。与强加刚性结构的传统自顶向下方法不同，我们的混合自底向上方法允许事件自然地展开，从而促成更具自发性和吸引力的叙事。该系统能够生成超过10,000字的故事，同时保持连贯性和一致性，解决了当前故事生成模型面临的一些关键挑战。我们在多项指标上实现了最先进的性能。该方法为创建动态、沉浸式的长故事提供了一种可扩展且创新的解决方案，这些故事从智能体驱动的互动中有机地演化而来。