Learners and researchers looking for structured entry points.

Learning and Research

Textbook groups, videos, podcasts, courses, research resources, implementations, and technical foundations.

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Learning and Research pathway

Start with the highest-signal public links for this page, then continue through the related resource and directory views.

Learning resources point newcomers and experienced participants toward living references, livestreams, Active Inference Insights, textbook groups, readings, code implementations, and domain-specific courses.

Core Readings

Learning pathways include the 2022 textbook by Thomas Parr, Giovanni Pezzulo, and Karl J. Friston; Maxwell Ramstead's 2023 precis; Jared Tumiel's Spinning Up in Active Inference; Beren Millidge's paper repository; and work on Active Inference ontology and teams.

Courses and Groups

Learning surfaces include Fundamentals of Active Inference, Textbook Group, Social Science course, Physics course, RxInfer.jl learning group, Seasonal School, and theoretical neurobiology conversations.

Implementations

Implementation pathways include RxInfer.jl, PyMDP, SPM, symbolic cognitive robotics, and open repositories. These support practical modeling and experimentation.

Tech-tree explorer

Explore the Active Inference learning graph

An interactive map of concepts, methods, and tools across the Active Inference and Free Energy Principle tech trees. Select a node to highlight its neighbors; filter by relationship type.

Key surfaces

Learning and Research at a glance

Ideas and methods

Concepts and methods from the learning graph

A compact selection from the Active Inference and Free Energy Principle tech-tree nodes.

Public ideas and methods from the Active Inference concept graph.
IdeaTypeMaturitySummaryTagsTree
Action as Active InferenceApplicationEstablishedAction as the process of changing the world to fulfill predictions, minimizing free energy by acting on the environment rather than updating beliefs.action, embodied, motorActive Inference
Learning as Model UpdateApplicationEstablishedLearning as the slow update of generative model parameters to minimize long-term free energy, encompassing synaptic plasticity and structure learning.learning, model-update, plasticityActive Inference
Perception as InferenceApplicationEstablishedPerception understood as Bayesian inference — updating internal generative models to explain away prediction errors from sensory input.inference, perception, sensoryActive Inference
Active InferenceConceptEstablishedThe process theory derived from the Free Energy Principle: agents act to fulfill predictions and minimize expected free energy through perception and action.active-inference, process-theoryActive Inference
AllostasisConceptAdvancedPredictive homeostasis — anticipatory regulation that adjusts setpoints based on expected future demands rather than reacting to deviations.anticipatory, predictive, regulationFree Energy Principle
AutopoiesisConceptEstablishedSelf-producing systems as defined by Maturana and Varela — living systems that continuously produce and maintain themselves.maturana, self-production, varelaFree Energy Principle
EntropyConceptEstablishedA measure of uncertainty or disorder in a probability distribution, connecting information theory to thermodynamics.disorder, entropy, uncertaintyFree Energy Principle
Expected Free EnergyConceptEstablishedThe objective function for policy selection in active inference, combining epistemic (information-seeking) and pragmatic (goal-seeking) drives.efe, epistemic, policy-selection, pragmaticActive Inference

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