How to Start
Begin with the ecosystem reference, the Start repository, public livestreams, podcasts, and learning groups. The website gives a stable public map, while Discord and recurring events provide synchronous participation.
Learners and researchers looking for structured entry points.
Textbook groups, videos, podcasts, courses, research resources, implementations, and technical foundations.
On this page
Learning resources point newcomers and experienced participants toward living references, livestreams, Active Inference Insights, textbook groups, readings, code implementations, and domain-specific courses.
Begin with the ecosystem reference, the Start repository, public livestreams, podcasts, and learning groups. The website gives a stable public map, while Discord and recurring events provide synchronous participation.
Learning pathways include the 2022 textbook by Thomas Parr, Giovanni Pezzulo, and Karl J. Friston; Maxwell Ramstead's 2023 precis; Jared Tumiel's Spinning Up in Active Inference; Beren Millidge's paper repository; and work on Active Inference ontology and teams.
Learning surfaces include Fundamentals of Active Inference, Textbook Group, Social Science course, Physics course, RxInfer.jl learning group, Seasonal School, and theoretical neurobiology conversations.
Implementation pathways include RxInfer.jl, PyMDP, SPM, symbolic cognitive robotics, and open repositories. These support practical modeling and experimentation.
Tech-tree explorer
An interactive map of concepts, methods, and tools across the Active Inference and Free Energy Principle tech trees. Select a node to highlight its neighbors; filter by relationship type.
Key surfaces
A collaborative path through Active Inference foundations.
Public updates, seminars, model streams, guest streams, and educational recordings.
Conversational podcast material available through public media channels.
References, repositories, papers, ontologies, and implementation links.
A structured path through concepts, methods, and applications.
RxInfer.jl, PyMDP, SPM, and symbolic cognitive robotics.
Ideas and methods
A compact selection from the Active Inference and Free Energy Principle tech-tree nodes.
| Idea | Type | Maturity | Summary | Tags | Tree |
|---|---|---|---|---|---|
| Action as Active Inference | Application | Established | Action as the process of changing the world to fulfill predictions, minimizing free energy by acting on the environment rather than updating beliefs. | action, embodied, motor | Active Inference |
| Learning as Model Update | Application | Established | Learning as the slow update of generative model parameters to minimize long-term free energy, encompassing synaptic plasticity and structure learning. | learning, model-update, plasticity | Active Inference |
| Perception as Inference | Application | Established | Perception understood as Bayesian inference — updating internal generative models to explain away prediction errors from sensory input. | inference, perception, sensory | Active Inference |
| Active Inference | Concept | Established | The process theory derived from the Free Energy Principle: agents act to fulfill predictions and minimize expected free energy through perception and action. | active-inference, process-theory | Active Inference |
| Allostasis | Concept | Advanced | Predictive homeostasis — anticipatory regulation that adjusts setpoints based on expected future demands rather than reacting to deviations. | anticipatory, predictive, regulation | Free Energy Principle |
| Autopoiesis | Concept | Established | Self-producing systems as defined by Maturana and Varela — living systems that continuously produce and maintain themselves. | maturana, self-production, varela | Free Energy Principle |
| Entropy | Concept | Established | A measure of uncertainty or disorder in a probability distribution, connecting information theory to thermodynamics. | disorder, entropy, uncertainty | Free Energy Principle |
| Expected Free Energy | Concept | Established | The objective function for policy selection in active inference, combining epistemic (information-seeking) and pragmatic (goal-seeking) drives. | efe, epistemic, policy-selection, pragmatic | Active Inference |
Related resources
External links are resolved from the shared registry so visitor-facing destinations stay centralized and checkable.
Audience: Newcomer
Current public landing page for the Institute, including mission, vision, open-science framing, and the Get Started pathway.
Audience: Newcomer
Recurring public update surface for activity orientation and current work.
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: Learner
Public START documentation site for tailored Active Inference learning and curriculum generation.
Audience: Newcomer
Public video channel for seminars, streams, educational sessions, and community recordings.
Audience: Newcomer
Direct handle for the public YouTube presence.
Audience: Newcomer
Public videos and podcasts shortlink for browsing recordings by format and topic.
Audience: Newcomer
Podcast destination for Active Inference conversations and interviews.
Audience: Developer
Public GitHub organization for Institute repositories and open-source work.
Audience: Developer
Generalized Notation Notation project repository for model communication.
Audience: Researcher
Research and publication-oriented repository for the Active Inference Journal.
Official pages
Audience: Newcomer
Current public Institute landing page with mission, vision, nonprofit status, community metrics, and Get Started pathway.
Audience: Learner
Official education entry point, currently resolving to courses.
Audience: Learner
Official courses page for learning Active Inference.
Audience: Learner
Official Textbook Group page.
Audience: Learner
Official livestreams page.
Audience: Researcher
Official research entry point, currently resolving to the research overview.
Audience: Researcher
Official research overview page.
Audience: Developer
Official RxInfer learning page.
Repositories
Audience: Researcher
Computational meta-analysis of Active Inference literature with nanopublication and knowledge-graph outputs.
Audience: Learner
Active Inference and RxInfer.jl
Audience: Researcher
Ontology-oriented repository for shared Active Inference concepts and decentralized science knowledge infrastructure.
Audience: Researcher
Active Inference & Category Theory
Audience: Learner
For learning and exploring Probabilistic Inference
Audience: Researcher
Public content repository for the Active Inference Journal and related publication infrastructure.
Audience: Researcher
Active Entity Ontology for Science
Audience: Researcher
Case-enabled Bayesian reasoning engine for unified modeling and cognitive representations.