Active Inference · Paper · 2026

Cognitive Diagrams: Reviewing Categorical Accounts of Linguistic Case

Active Inference Journal

Catalog Row112
Citation KeyFriedman2026CognitiveDiagramsReviewingCategorical112
Paper FolderAvailable
DOI10.5281/zenodo.19695259
Platform availability

Overview

Extracted from the local paper documentation when available.

Linguistic case offers a useful test of how diagrams connect relational structure, compositional syntax, and uncertainty. This article reviews categorical approaches and supplies an executable collection of deliberately small examples. The implementation includes case-role graphs, pregroup derivations, tensor contractions, synthetic similarity matrices, Bayesian filtering, quantile utilities, and...

linguistic casecategory theoryDisCoCatpregroup grammarenriched categoriesBayesian filteringdistributional representationsPOVMreproducible research

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts
  • Linguistic case as categorical structure: alignment typology as functors, DisCoCat/DisCoCirc composition, bridges to Distributional Active Inference and protocol-level analysis of prompt injection.
Methods / Techniques
  • Free energy minimization
  • Bayesian modeling and inference

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2026. Cognitive Diagrams: Reviewing Categorical Accounts of Linguistic Case. Active Inference Journal. DOI: 10.5281/zenodo.19695259. URL: https://doi.org/10.5281/zenodo.19695259.

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