Newcomers, learners, researchers, builders, and collaborators.
A framework for understanding perception, action, learning, cognition, and adaptive systems.
Active Inference is the central scientific and practical framework around which the Institute organizes education, research, applications, and ecosystem support.
Active Inference connects perception, action, uncertainty, and model-based adaptation. The Institute presents it as a shared framework for scientific inquiry, engineering practice, education, and collective sensemaking.
Newcomers can begin with the ecosystem reference, the Start repository, public livestreams, podcasts, learning groups, readings, and implementations. The site separates those entry points into stable public pathways.
Implementation pathways include RxInfer.jl, PyMDP, SPM, symbolic cognitive robotics, notational tools, and domain-specific repositories. These support modeling, simulation, inference, and applied experimentation.
Active Inference appears across domains including biology, neuroscience, mental health, robotics, education, economics, physics, social systems, logistics, decentralized science, and scientific method. The Institute publishes a dedicated deep-dive page for each domain covering the state of the literature, key projects and tools, and open problems.
Key surfaces
A shared language for perception, action, uncertainty, and adaptive systems.
Textbook groups, courses, streams, podcasts, readings, and shared learning repositories.
Software implementations, model-building, project work, and applied examples.
A broad community applying the framework across scientific and practical domains.
Related resources
Audience: Learner
Learning repository for getting started with Active Inference materials and pathways.
Audience: Researcher
Public ecosystem shortlink for Institute context, projects, activities, and conceptual maps.
Audience: Newcomer
Public video channel for seminars, streams, educational sessions, and community recordings.
Audience: Newcomer
Public videos and podcasts shortlink for browsing recordings by format and topic.
Audience: Developer
Public GitHub organization for Institute repositories and open-source work.
Audience: Learner
Public livestream surfaced from the official site.
Audience: Researcher
Precis of Bayesian mechanics (Ramstead et al., 2022), summarising the physics-of-beliefs framing behind the Free Energy Principle.
Audience: Researcher
Synthesis paper on active inference over discrete state-spaces (Da Costa et al., 2020); a standard reference for the discrete formulation.
Official pages
Audience: Newcomer
Current public Institute landing page with mission, vision, nonprofit status, community metrics, and Get Started pathway.
Audience: Learner
Public documentation for START, a tailored Active Inference research and training system.
Audience: Learner
Published Active Inference knowledge base.
Audience: Developer
Public RxInfer learning-group shortlink for implementation-oriented Active Inference work.
Audience: Researcher
Public Wave Hypothesis shortlink.
Repositories
Audience: Learner
Active Inference and RxInfer.jl
Audience: Learner
For learning and exploring Probabilistic Inference
Audience: Learner
Public course materials for learning Active Inference.
Audience: Learner
Materials and code for Fundamentals of Active Inference learning work.
Audience: Learner
Active Inference Textbook Group
Audience: Learner
PyMCP -- MCP for PyMDP
Audience: Learner
A Python implementation of active inference for Markov Decision Processes
Audience: Learner
START repository for scalable, tailored Active Inference research and training.