Installable Python package for reproducible ecological control, bioregion research, and auditable decision analysis, with a pymdp active-inference controller for simulating and comparing ecosystem trajectories.
Exposes the PyMDP active-inference library to AI agents and applications over the Model Context Protocol and a plain REST API: build generative models, infer states and policies, and simulate agents in environments
On-Policy Distillation formalized as Active Inference in finite variational models: reverse-KL free energy, student-induced sampling, a two-agent pymdp classroom, and machine-checked reproducible manuscript artifacts.
Tunable mean-field deformation framework for multi-stream policy ensembles in active inference, with a machine-checked Lean 4 boundary, pymdp POMDP simulations, and closed-form entanglement decomposition of variational free energy
Template for composing multi-track active inference manuscripts — closed-form analytics, pymdp simulations, Lean 4 proofs, GNN/ontology notation — bound to shared sections by a typed sheaf engine with six machine-checked composition laws and a symbol gluing certificate.
Python 3.10+ research pipeline that turns a no-self / quantum-reference-frame paper into runnable code: variational free energy decompositions, pymdp active inference policy traces, Bayesian model reduction, CHSH separability witnesses, and criticality tests with bootstrap CIs — 85 tests, 95% coverage, deterministic seeded outputs.
Reproducible statistical-power simulation suite for adaptive studies with an embedded active-inference agent: multiple-testing corrections, sequential e-processes, and action-loop operating characteristics, using real pymdp inference.
Tiny, transparent experiments in Active Inference using pymdp
This shall become a site for you to increase your knowledge about Active inference. No matter where you come from.
Closed-loop active-inference research scaffold analyzing synthetic sporadic waypoint data with a pinned FractalRabbit simulator and a real pymdp JAX agent, plus a reproducible manuscript and audit pipeline.
A simulation of how people read intent into things other people make, what breaks when nothing made it, and what a provenance label does about it.
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