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Studenti, ricercatori e professionisti in cerca di un'esperienza di apprendimento immersiva su Active Inference.
Un intensivo corso in presenza o online per un profondo coinvolgimento con l'Inferenza Attiva.
In questa pagina
La Scuola Stagionale è un programma educativo dell'Istituto che offre un coinvolgimento intensivo, strutturato e approfondito nella teoria dell'Inferenza Attiva, nella modellazione e nelle applicazioni. Ha ospitato diverse coorti e sviluppato una reputazione come esperienza di apprendimento concentrato per i partecipanti provenienti da vari sfondi.
La Scuola Stagionale fornisce un'educazione concentrata sull'Inferenza Attiva attraverso sessioni strutturate che si svolgono in giorni o settimane. Combina lezioni, workshop, pratica di modellazione e discussioni, creando un ambiente di apprendimento che accelera la comprensione per i partecipanti a vari livelli di background pregresso.
La Scuola Stagionale ha gestito diversi gruppi di lavoro, ciascuno dei quali ha prodotto registrazioni e risorse per la comunità più ampia. Le registrazioni passate sono accessibili attraverso i canali video dell'Istituto.
The Institute is planning a five-day, in-person edition — Active Inference Summer School: Foundations and Applications — organized by Daniel Friedman and Luca Possati. The Institute is seeking co-organizers, a hosting venue, sponsors, and session presenters to help bring the program to life.
La Scuola Stagionale accetta domande da studenti, ricercatori e professionisti. Segui le comunicazioni dell'Istituto per le prossime edizioni.
Superfici chiave
Risorse correlate
I collegamenti esterni vengono risolti dal registro condiviso, quindi le destinazioni visibili ai visitatori rimangono centralizzate e verificabili.
Audience: Newcomer
Primary public community channel for conversation, coordination, and newcomer orientation.
Audience: Learner
Learning repository for getting started with Active Inference materials and pathways.
Audience: Researcher
Public ecosystem shortlink for Institute context, projects, activities, and conceptual maps.
Audience: Newcomer
Public video channel for seminars, streams, educational sessions, and community recordings.
Audience: Developer
Public GitHub organization for Institute repositories and open-source work.
Audience: Developer
Project repository for multiagent Active Inference modeling work.
Audience: Developer
Generalized Notation Notation project repository for model communication.
Audience: Developer
Geospatial modeling repository connected to ecological and bioregional applications.
Audience: Researcher
Research and publication-oriented repository for the Active Inference Journal.
Audience: Learner
Public livestream surfaced from the official site.
Audience: Researcher
External paper repository surfaced from the official research page.
Audience: Researcher
Reachable arXiv reference surfaced from the official research page.
Pagine ufficiali
Audience: Learner
Public documentation for START, a tailored Active Inference research and training system.
Audience: Newcomer
Public newsletter destination.
Audience: Contributor
Public projects shortlink for project directories and activity-linked work.
Audience: Contributor
Public project measurement shortlink for reporting progress and outputs.
Audience: Learner
Public Textbook Group shortlink for cohort and learning-group coordination.
Audience: Learner
Published Active Inference knowledge base.
Audience: Researcher
Public Active Inference Ontology shortlink for shared conceptual infrastructure.
Audience: Contributor
Public Project Preparation shortlink for making proposed work legible and actionable.
Repositori
Audience: Researcher
Computational meta-analysis of Active Inference literature with nanopublication and knowledge-graph outputs.
Audience: Researcher
Ontology-oriented repository for shared Active Inference concepts and decentralized science knowledge infrastructure.
Audience: Developer
Notebook-based applied Active Inference work connected to blockchain-adjacent and generative modeling examples.
Audience: Developer
Python models and materials for ant-inspired multiagent Active Inference.
Audience: Researcher
Active Inference & Category Theory
Audience: Learner
For learning and exploring Probabilistic Inference
Audience: Researcher
Public content repository for the Active Inference Journal and related publication infrastructure.
Audience: Researcher
Active Entity Ontology for Science