arXiv:2412.05747cs.GTcs.AI2024-12被引 5

用博弈论分析莎士比亚《罗密欧与朱丽叶》的剧情结构和角色决策

Charting the Shapes of Stories with Game Theory

  • 将故事建模为博弈论对象,量化角色决策机制
  • 揭示角色动机与未发生的反事实情节,展现故事潜在走向
  • 为文学分析提供可复现的量化方法,适用于真实场景

故事是人类经验的记录,其分析能揭示人性本质。以往分析多依赖一维图表和动态社交网络,而现代人工智能使我们能够更全面地识别剧情结构、角色动机,以及故事本可发展却未走的反事实路径。本文提出一种基于AI的博弈论建模方法,将故事结构转化为可量化的博弈对象,不仅可探究每个角色的决策逻辑,还能深入还原作者对角色世界的构想。我们在莎士比亚经典《罗密欧与朱丽叶》上验证该方法的有效性,并讨论其在更广泛情境(包括现实事件)中的可扩展性。

原文摘要 · Abstract (English)

Stories are records of our experiences and their analysis reveals insights into the nature of being human. Successful analyses are often interdisciplinary, leveraging mathematical tools to extract structure from stories and insights from structure. Historically, these tools have been restricted to one dimensional charts and dynamic social networks; however, modern AI offers the possibility of identifying more fully the plot structure, character incentives, and, importantly, counterfactual plot lines that the story could have taken but did not take. In this work, we use AI to model the structure of stories as game-theoretic objects, amenable to quantitative analysis. This allows us to not only interrogate each character's decision making, but also possibly peer into the original author's conception of the characters' world. We demonstrate our proposed technique on Shakespeare's famous Romeo and Juliet. We conclude with a discussion of how our analysis could be replicated in broader contexts, including real-life scenarios.

故事分析博弈论AI文学莎士比亚

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