Researchers, modelers, engineers, and contributors building Active Inference software, tools, and scientific knowledge.
The Active Inference Institute's research-focused organizational unit.
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. Seven are active: AICACP, the Applied Active Inference Symposium, Generalized Notation Notation (GNN), GEO-INFER, Knowledge Engineering, the RxInfer.jl learning group, and the Theoretical Neurobiology Group. Five are archived past initiatives: Active Blockference, Cognitive Agent Modeling, FarmWorks, a Graphical Interface project, and Multiagent Modeling (Active InferAnts).
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
Audience: Newcomer
Primary public community channel for conversation, coordination, and newcomer orientation.
Audience: Developer
Public GitHub organization for Institute repositories and open-source work.
Official pages
Audience: Newcomer
Current public Institute landing page with mission, vision, nonprofit status, community metrics, and Get Started pathway.