Researchers, modelers, engineers, and contributors building Active Inference software, tools, and scientific knowledge.
The Active Inference Institute's research-focused organizational unit.
On this page
ReInference is the Institute's research and development arm. It hosts software projects, theoretical work, applied modeling, geospatial analysis, knowledge engineering, and interdisciplinary research under the Active Inference framework. ReInference projects range from widely-used open-source tools to specialized research initiatives.
ReInference develops and maintains research infrastructure, software tools, and scientific knowledge for Active Inference. Its institute projects have active development pipelines, open repositories, and regular community touchpoints. ReInference connects theoretical advances in Active Inference with concrete implementations, datasets, and application domains.
ReInference hosts 12 Institute-operated projects: Active Blockference, AICACP, the Applied Active Inference Symposium, Cognitive Agent Modeling, FarmWorks, Generalized Notation Notation (GNN), GEO-INFER, a Graphical Interface project, Knowledge Engineering, Multiagent Modeling (Active InferAnts), the RxInfer.jl learning group, and the Theoretical Neurobiology Group.
ReInference supports Ecosystem projects in theoretical neuroscience, computational modeling, AI applications, and specialized domains. These include CogNarr, the Geometric Inquiry Theory, Symbolic Cognitive Robotics, Model-Centric Cognition, and over a dozen other community-driven research projects.
ReInference projects welcome researchers, engineers, students, and domain experts. Contributing can mean writing code, modeling, running experiments, producing documentation, or engaging in research discussions. Most projects are open to new participants.
Key surfaces
Multiagent modeling with prior code, papers, and development in Active Blockference.
Geospatial modeling using Active Inference techniques.
Generalized Notation Notation for communicating generative models.
Learning and development around the RxInfer.jl probabilistic programming system.
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
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.
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: 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.
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.