Learn & Connect
The Institute offers scaffolded courses, collaborative textbook groups, and hands-on internship and fellowship programmes designed for all backgrounds, time zones, and levels of familiarity.
Structured learning programmes developed and facilitated by the Institute. Recorded iterations are available asynchronously for self-paced learning.
A twelve-session syllabus introducing the framework's relevance to societal structures — how cognitive agents construct shared world-models through perceptions, epistemic actions, and cultural norms.
View syllabus →An accessible pathway linking the thermodynamic fundamentals of the Free Energy Principle to computational structures and predictive processing.
View syllabus →See all courses at activeinference.org/courses.
The Institute organises recurring, collaborative reading groups around the two core textbooks. Over 7 cohorts have completed the cycle. Register for the next cohort →
The foundational textbook presenting the mathematical and conceptual framework for Active Inference. Participants engage in peer-to-peer discussion, unpack complex mathematical formulae, and contextualise biological case studies.
MIT Press →An engineering-focused companion developed in collaboration with the Institute since 2023, endorsed by Karl Friston. The 12 interactive simulations in this website accompany this textbook, providing hands-on exploration of core concepts.
MIT Press →Hands-on involvement for participants at all career stages — from students to established researchers.
Open to all backgrounds — philosophers, developers, educators, and organisers. Interns gain direct mentorship, access to digital infrastructure, and the opportunity to co-author ecosystem resources.
Learn more →Self-directed projects with facilities, resources, mentorship, and open-science support. Launched in 2024 for researchers exploring Active Inference across disciplines.
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