# Active Inference Tutorial: Perspectives, Correlates, and Future Directions for Graphical Brains Presenter: Andrew Pashea Contribution: Pre-recorded Video presentation Public ID: talk-f41341ff72644ef5 ## Submitted abstract This Symposium 2026 tutorial covers Active Inference from various angles based on the experience over several years with teaching and applying Active Inference. It begins with a brief descriptive rehearsal of fundamental ideas and principles akin to other previous tutorials to establish a foundation for the audience. However, this will be followed by a tour through various textbook materials and publications, past and present, to emphasize crucial areas for understanding modelling and application areas. This tutorial will include visual and discursive illustrations of a range of model classes for different use-cases; discussions of existing and under-development software libraries; and some frontiers in modelling for identifying directions for further research applications which can be especially valuable for the broader research community in 2026 onward. Topics will include, non-exhaustively, the Bayesian brain hypothesis and behavioralism versus partial observability and modelling internal states; principles of exploration, learning, and novelty; fundamental discrete and continuous models in Active Inference and their relationship; computational psychiatry and its significance to other domains; the FEP and its historical and practical relationship to Bayesian model comparison; software libraries including SPM, pymdp, RxInfer, RGMs, and other developments; hierarchical and hybrid models; and structure learning. Source: [submitted source]() Abstract SHA256: 7ab6bfb3626aecfdc813fffcdcacac28ff84fdf2486f0001a4d022c5ef910895 ## Organizer review checklist - [ ] Confirm the submitted title, presenter, and abstract with the presenter. - [ ] Confirm contribution format and scheduling needs. - [ ] Confirm public permissions for any additional material before publication. - [ ] Prepare discussion questions grounded in the submitted abstract. ## Public learning resources These approved event resources are starting points; topic relevance and author identity have not been inferred. - Active Inference Ontology: https://github.com/ActiveInferenceInstitute/Active_Inference_Ontology - Cognitive Agent Modeling: https://github.com/ActiveInferenceInstitute/ActiveInferenceImplementations - GEO-INFER: https://github.com/ActiveInferenceInstitute/GEO_INFER - Generalized Notation Notation: https://github.com/ActiveInferenceInstitute/Generalized_Notation_Notation - pymdp: https://github.com/infer-actively/pymdp - Reproducible publication template: https://github.com/docxology/template OpenAlex discovery-only search (not a verified identity or literature match): https://openalex.org/works?search=Active%20Inference%20Tutorial%3A%20Perspectives%2C%20Correlates%2C%20and%20Future%20Directions%20for%20Graphical%20Brains