🧠 Active Inference & Free Energy Principle

Free Energy Principle, generative models, belief sharing, formalization, and educational infrastructure.

28 Works

Curated works in this domain from the unified bibliography.

11 Related Repositories

Selected software entries connected to this domain.

Collaborator Context

Karl Friston, Thomas Parr, Maxwell J. D. Ramstead, Conor Heins, Tim Verbelen

Selected Works

Newest and most relevant entries for this domain.

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Related Software

Repository entry points for implementation, data, and teaching work.

active_inference

Active Inference for, with, and by Generative AI — Python implementations of free-energy-minimizing agents integrated with modern AI tooling

Python · ⭐ 1

active_torchference

PyTorch-based Active Inference implementations — GPU-accelerated variational inference and free energy minimization

Python · ⭐ 0

goference

Active Goference — production-ready Go framework for Active Inference autonomous agents; genuine variational inference, free energy minimization, POMDP policy planning via gonum

Go · ⭐ 0

AgenticMesh

Active Inference & Agentic Mesh — modular Python infrastructure for building agentic systems using free-energy-minimizing Active Inference principles

Python · ⭐ 1

ActiveInferAnts

Active Inference models for/of ants across 32+ programming languages — multi-language reference implementation of stigmergic Active Inference

Python · ⭐ 28

ActiveInferAnts

Active Inference for ants — multi-language implementations (Python) for modeling ant-colony cognition as Bayesian agents minimizing free energy

Python · ⭐ 2

GeneralizedNotationNotation

GNN — formal notation standard for specifying Active Inference generative models; JSON/YAML schema, validators, and transpilers to Python, Julia, and MATLAB · Zenodo software

Python · ⭐ 24

FEP_Lean

Lean 4 / Mathlib4 formalization of FEP-related mathematics — 50-topic sorry-free catalog, Hermes/OpenGauss LLM drafting, zero-mock verification, manuscript pipeline

Python · ⭐ 3

CEREBRUM

Case-Enabled Reasoning Engine with Bayesian Representations for Unified Modeling — grammatical case framework for compositional cognitive models

Python · ⭐ 12

cognitive

Cognitive modeling and simulation tools — multi-agent Active Inference environments, benchmarks, and visualization

Python · ⭐ 18

cognitive

Cognitive Ecosystem Modeling Framework — Active Inference agents with Obsidian-compatible knowledge management, bidirectional graph validation, belief updating, and network visualization

Python · ⭐ 13

Learning Path

A compact route through the material.

  • Start with the literature review and ontology papers.
  • Move to GNN, CEREBRUM, and Cognitive Case Diagrams for notation and modeling.
  • Use FEP_Lean for formalization-oriented work.

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