In this paper, we propose the beginnings of a formal framework for modeling narrative \textit{qua} narrative. Our framework affords the ability to discuss key qualities of stories and their communication, including the flow of information from a Narrator to a Reader, the evolution of a Reader's story model over time, and Reader uncertainty. We demonstrate its applicability to computational narratology by giving explicit algorithms for measuring the accuracy with which information was conveyed to the Reader and two novel measurements of story coherence.
翻译:在本文中,我们提出一个正式框架的起点,用于模拟叙事和叙述。我们的框架提供了讨论故事及其交流的关键品质的能力,包括从旁白到阅读器的信息流、读者故事模型的演变以及阅读器不确定性。我们通过提供明确的算法来衡量向阅读器传递信息的准确性,以及两个关于故事一致性的新衡量,证明了它适用于计算词组学。