Tutorials and Open Source tools to get you started down the path of Active Inference AI.
Active Inference Institute (AII) is an open-science institute dedicated to improving the accessibility, rigor, and applicability of the Active Inference framework.
A powerful Julia package for fast and flexible Bayesian inference. By combining message passing algorithms with model’s graph structure, RxInfer makes probabilistic programming both efficient and accessible. Whether you’re working on machine learning, signal processing, or complex statistical models, RxInfer provides tools you need to solve real-world inference problems.
Active Inference Institute – This advanced learning path explores the integration of Active Inference principles with Artificial General Intelligence (AGI) and superintelligence development. It focuses on safe and robust approaches to developing advanced AI systems, emphasizing theoretical foundations, practical implementation, and crucial safety considerations.
A list of materials that gives you the necessary background to understand the full Free Energy Principle (and Active Inference), which also functions as a reasonably complete map of the territory so that people can quickly see what the field encompasses and how the parts relate. Our syllabus should cater to the kinds of people who end up interested in the FEP, so should include different starting points and different levels of technical detail.
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