Physics-oriented learners and researchers exploring the physical basis of the Free Energy Principle.
A course connecting physics, thermodynamics, and the theoretical foundations of Active Inference.
On this page
The Physics Course is an Institute education project developing course materials on the physical foundations of Active Inference and the Free Energy Principle — covering thermodynamics, information theory, and the physics underlying biological self-organization.
The Physics Course explores Active Inference from a physics perspective, covering how thermodynamics, information theory, and statistical mechanics underpin the Free Energy Principle. It develops course materials connecting these foundations to biological and cognitive systems. The initial course series, Physics as Information Processing, ran in 2023 and was developed together with physicist Chris Fields.
Physicists, mathematicians, and quantitatively-oriented learners interested in the theoretical foundations of Active Inference are welcome.
Key surfaces
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
Public documentation for START, a tailored Active Inference research and training system.
Audience: Contributor
Public projects shortlink for project directories and activity-linked work.
Audience: Contributor
Public project measurement shortlink for reporting progress and outputs.
Audience: Learner
Public Textbook Group shortlink for cohort and learning-group coordination.
Audience: Learner
Published Active Inference knowledge base.
Audience: Researcher
Public Active Inference Ontology shortlink for shared conceptual infrastructure.
Audience: Contributor
Public Project Preparation shortlink for making proposed work legible and actionable.
Audience: Developer
Public RxInfer learning-group shortlink for implementation-oriented Active Inference work.
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.