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Knowledge base and Python package for discrete and continuous Active Inference: generative models, expected free energy, POMDP simulation, and an executable manuscript with reproducible validation commands.

active-inference expected-free-energy free-energy-principle generative-model pomdp python

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Name		Name	Last commit message	Last commit date
.aii		.aii
.github		.github
.obsidian		.obsidian
code		code
docs		docs
examples		examples
knowledge_base		knowledge_base
specs		specs
.gitignore		.gitignore
.ignore		.ignore
.markdownlint.json		.markdownlint.json
.markdownlintignore		.markdownlintignore
AGENTS.md		AGENTS.md
CHANGELOG.md		CHANGELOG.md
CLAUDE.md		CLAUDE.md
LICENSE		LICENSE
LICENSE-KNOWLEDGE-BASE.md		LICENSE-KNOWLEDGE-BASE.md
README.md		README.md
TODO.md		TODO.md
config.yaml		config.yaml
project_structure.md		project_structure.md
pyproject.toml		pyproject.toml
pytest.ini		pytest.ini
uv.lock		uv.lock

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title	GitHub configuration
type	documentation
status	stable
updated	2026-11-03

`.github/`

dependabot.yml — weekly grouped updates for github-actions and uv, both rooted at /.
workflows/ — the CI workflow.

Repository-wide policy is in ../AGENTS.md; the workflow list and gates are in workflows/README.md.

About

Knowledge base and Python package for discrete and continuous Active Inference: generative models, expected free energy, POMDP simulation, and an executable manuscript with reproducible validation commands.

active-inference expected-free-energy free-energy-principle generative-model pomdp python

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23 stars

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