Active Inference · Paper · 2025

CEREBRUM: Case-Enabled Reasoning Engine with Bayesian Representations for Unified Modeling

Daniel Ari Friedman

Zenodo

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Citation KeyFriedman2025CEREBRUMCaseEnabledReasoning010
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Overview

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This paper introduces Case-Enabled Reasoning Engine with Bayesian Representations for Unified Modeling (CEREBRUM). CEREBRUM is a synthetic intelligence framework that integrates linguistic case systems with cognitive scientific principles to describe, design, and deploy generative models in an expressive fashion. By treating models as case-bearing entities that can play multiple contextual roles...

CEREBRUM

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts
  • This paper introduces Case-Enabled Reasoning Engine with Bayesian Representations for Unified Modeling (CEREBRUM).
  • CEREBRUM is a synthetic intelligence framework that integrates linguistic case systems with cognitive scientific principles to describe, design, and deploy generative models in an expressive fashion.
Methods / Techniques
  • Case-enabled reasoning over Bayesian models
  • Active inference with case-based priors

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2025. CEREBRUM: Case-Enabled Reasoning Engine with Bayesian Representations for Unified Modeling. Zenodo. DOI: 10.5281/zenodo.15170907. URL: https://doi.org/10.5281/zenodo.15170907.

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