Grothendieck's Geometric Universes and A Sheaf-Theoretic Foundation of Information Network
Takao Inou\'e

TL;DR
This paper introduces a sheaf-theoretic framework based on Grothendieck's geometric universes for modeling information networks, emphasizing intrinsic logical structures derived from geometric and categorical principles.
Contribution
It presents a novel interpretation of Grothendieck universes as a foundational basis for information networks using sheaf and topos theory, integrating local and global informational states intrinsically.
Findings
Sheaves model distributed information states.
Topos theory provides a logical foundation for networks.
Intrinsic logic arises from geometric and categorical conditions.
Abstract
This paper proposes an interpretation of Grothendieck's geometric universes as a foundational framework for \emph{information networks}. We argue that Grothendieck topologies, sheaves, and topoi provide a sheaf-theoretic semantics in which distributed and locally held information can be integrated into globally coherent structures. In this setting, local informational states are represented by sections, while the sheaf condition governs consistency, agreement, and consensus across a network. Logical validity and mathematical existence are therefore not imposed externally but arise intrinsically from geometric and categorical conditions. From this perspective, Grothendieck's geometric universes constitute a natural foundation for information networks governed by intrinsic logical principles. Moreover, we propose that Grothendieck's geometric universes themselves concretely instantiate…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTopological and Geometric Data Analysis · Embodied and Extended Cognition · Philosophy and Theoretical Science
