SOURCE-LINKED INTELLIGENCE
Time-Varying Data as Sheaves: an Invitation to Narratives
Modern science and engineering increasingly rely on time-varying data, yet the mathematical tools used to model temporal phenomena are often developed within separate disciplines, obscuring common principles and limiting the transfer of ideas across fields. This chapter presents the theory of narratives, an abstract framework for time-varying objects of any mathematical kind that supports both theoretical investigations and applications. To illustrate this perspective, the chapter develops three vignettes, each illustrating a different research direction. The first addresses a general concern:
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- arXiv · AI, language, vision and robotics · 2026-09-08T17:12:24.000Z
First collected: 2026-09-20T20:02:11.508Z. This is not the publication date.