Active Inference · Paper · 2026

Compositional Approaches to Linguistic Case for Cognitive Modeling

Daniel Ari Friedman

Active Inference Journal

Catalog Row112
Citation KeyFriedman2026CompositionalApproachesLinguisticCase112
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Overview

Extracted from the local paper documentation when available.

Commutative diagrams encode relational structure, distributional semantics, and belief updating—with linguistic case as the hinge. Case systems as categories; alignment patterns as functors; DisCoCat/DisCoCirc string diagrams; enriched hooks to quantitative similarity; links to Distributional Active Inference and ERP-oriented hypotheses; POVM scaling for multi-agent discourse; prompt injection as...

Active Inferencelinguistic casecategory theoryDisCoCatDisCoCircdistributional semanticscognitive modelingcognitive securityprompt injectionlinguistic typology

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. Compositional Approaches to Linguistic Case for Cognitive Modeling. Active Inference Journal. DOI: 10.5281/zenodo.19695259. URL: https://doi.org/10.5281/zenodo.19695259.

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