Kleisli Semantics and Hypergraph Composition for Greimasian Narrative Programs

This article proposes a category-theoretic formalization of Greimasian narrative programs (NPs) that makes their compositional structure mathematically precise. Building on a reconstruction of the actantial model as a categorical schema, we introduce a refined typological schema of actants and derive Set-valued instances corresponding to role-indexed elements of a narrative. NPs are represented within a categorical schema whose selected morphisms are interpreted using monadic semantics on Set. In particular, the List monad provides Kleisli semantics for modeling non-atomic, list-valued actantial configurations, while the Maybe monad encodes optional dependencies between programs. This yields a compact, structured representation of narrative programs as structured data with an intrinsic compositional interpretation. To account for the compositional dynamics of narrative formation, we lift these constructions into a diagrammatic setting by freely generating a symmetric monoidal category from the set of actants, adjoining narrative program generators, and subsequently equipping the resulting structure with Frobenius operations to obtain a hypergraph category. In this framework, narrative programs act as generators of morphisms, and their composition is realized through wiring diagrams. A narrative trajectory is thereby realized categorically as a single composite morphism. This approach provides a unified mathematical framework for structural semiotics, connecting data-level representations of narrative elements with their compositional realization in discourse.

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Publication Details

Journal
Mathematics
Published
2026-05-27
DOI
https://doi.org/10.3390/math14111860
Primary Topic
Logic, programming, and type systems
Type
article
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article

Kleisli Semantics and Hypergraph Composition for Greimasian Narrative Programs

Michael Fowler
Mathematics
Logic, programming, and type systems
article

Kleisli Semantics and Hypergraph Composition for Greimasian Narrative Programs

Michael Fowler
article en

Abstract

This article proposes a category-theoretic formalization of Greimasian narrative programs (NPs) that makes their compositional structure mathematically precise. Building on a reconstruction of the actantial model as a categorical schema, we introduce a refined typological schema of actants and derive Set-valued instances corresponding to role-indexed elements of a narrative. NPs are represented within a categorical schema whose selected morphisms are interpreted using monadic semantics on Set. In particular, the List monad provides Kleisli semantics for modeling non-atomic, list-valued actantial configurations, while the Maybe monad encodes optional dependencies between programs. This yields a compact, structured representation of narrative programs as structured data with an intrinsic compositional interpretation. To account for the compositional dynamics of narrative formation, we lift these constructions into a diagrammatic setting by freely generating a symmetric monoidal category from the set of actants, adjoining narrative program generators, and subsequently equipping the resulting structure with Frobenius operations to obtain a hypergraph category. In this framework, narrative programs act as generators of morphisms, and their composition is realized through wiring diagrams. A narrative trajectory is thereby realized categorically as a single composite morphism. This approach provides a unified mathematical framework for structural semiotics, connecting data-level representations of narrative elements with their compositional realization in discourse.

MathematicsVol. 14(11)
Institut für Medien- und Kommunikationspolitik (DE)
Openalex Percentile: Top 4%
Logic, programming, and type systems
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