Learners, students, and researchers working through Active Inference textbooks in a structured group setting.
Structured cohort learning through Active Inference textbooks — 9 cohorts on the 2022 textbook, now live in the first 2026 Fundamentals cohort.
On this page
The Textbook Group is a sustained Institute educational program running structured cohort-based learning through Active Inference textbooks. Since 2022 it has run 9 cohorts on the 2022 textbook 'Active Inference: The Free Energy Principle in Mind, Brain, and Behavior' by Thomas Parr, Giovanni Pezzulo, and Karl J. Friston. As of mid-2026 the group is live in its first cohort on the 2026 textbook 'Fundamentals of Active Inference: Principles, Algorithms, and Applications of the Free Energy Principle for Engineers' by Sanjeev V. Namjoshi.
The Textbook Group brings participants together in structured cohorts to work through Active Inference textbooks with guidance and peer support. Each cohort runs regular sessions with discussion, exercises, and collaborative work through key texts.
Since 2022 the Textbook Group has completed 9 cohorts on the 2022 textbook 'Active Inference: The Free Energy Principle in Mind, Brain, and Behavior' (Parr, Pezzulo & Friston). As of mid-2026 it is live in its first cohort on the 2026 textbook 'Fundamentals of Active Inference: Principles, Algorithms, and Applications of the Free Energy Principle for Engineers' (Namjoshi). Recordings and materials from prior cohorts are accessible through the repository and course pages.
Register for upcoming cohorts through the registration form. No prior expertise in Active Inference is required — the group provides structure for participants at all levels.
Textbooks
The Textbook Group works cohort-by-cohort through these Active Inference texts.
Active Inference: The Free Energy Principle in Mind, Brain, and Behavior
9 completed cohorts since 2022
Fundamentals of Active Inference: Principles, Algorithms, and Applications of the Free Energy Principle for Engineers
Current — first cohort live since mid-2026
Key surfaces
Structured learning through Parr, Pezzulo & Friston (2022) since 2022.
Now working through Namjoshi's Fundamentals of Active Inference (2026).
Register for the next cohort through the registration form.
Related resources
External links are resolved from the shared registry so visitor-facing destinations stay centralized and checkable.
Audience: Newcomer
Primary public community channel for conversation, coordination, and newcomer orientation.
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: Developer
Public GitHub organization for Institute repositories and open-source work.
Audience: Developer
Project repository for multiagent Active Inference modeling work.
Audience: Developer
Generalized Notation Notation project repository for model communication.
Audience: Developer
Geospatial modeling repository connected to ecological and bioregional applications.
Audience: Researcher
Research and publication-oriented repository for the Active Inference Journal.
Audience: Contributor
Public Project Preparation shortlink for making proposed work legible and actionable.
Audience: Contributor
Public project measurement shortlink for reporting progress and outputs.
Audience: Developer
Public RxInfer learning-group shortlink for implementation-oriented Active Inference work.
Official pages
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: Researcher
Official research entry point, currently resolving to the research overview.
Audience: Researcher
Official research overview page.
Audience: Developer
Official Knowledge Engineering page.
Audience: Developer
Official Active Blockference page.
Audience: Researcher
Official theoretical neurobiology 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: Developer
Notebook-based applied Active Inference work connected to blockchain-adjacent and generative modeling examples.
Audience: Developer
Python models and materials for ant-inspired multiagent Active Inference.
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.