Active Inference is the central scientific and practical framework around which the Institute organizes education, research, applications, and ecosystem support.
What Active Inference Provides
Active Inference connects perception, action, uncertainty, and model-based adaptation. The Institute presents it as a shared framework for scientific inquiry, engineering practice, education, and collective sensemaking.
How to Approach the Field
Newcomers can begin with the ecosystem reference, the Start repository, public livestreams, podcasts, learning groups, readings, and implementations. The site separates those entry points into stable public pathways.
Implementations
Implementation pathways include RxInfer.jl, PyMDP, SPM, symbolic cognitive robotics, notational tools, and domain-specific repositories. These support modeling, simulation, inference, and applied experimentation.
Applications
Active Inference appears across domains including biology, neuroscience, mental health, robotics, education, economics, physics, social systems, logistics, decentralized science, and scientific method.