Esta página foi traduzida automaticamente do inglês. Visualize o original em inglês.
Estudantes, pesquisadores e praticantes em busca de uma experiência imersiva de aprendizado em Inferência Ativa.
Um intensivo presencial ou online para engajamento profundo com a Inferência Ativa.
Nesta página
A Escola Sazonal é um programa educacional do Instituto que oferece engajamento intensivo, estruturado e aprofundado na teoria, modelagem e aplicações da Inferência Ativa. Ela realizou várias turmas e desenvolveu um histórico como experiência de aprendizado concentrado para participantes de diversos antecedentes.
A Escola Sazonal oferece educação concentrada em Inferência Ativa através de sessões estruturadas que duram dias ou semanas. Combina palestras, oficinas, prática de modelagem e discussões, criando um ambiente de aprendizado que acelera a compreensão para participantes com diversos níveis de conhecimento prévio.
A Escola Sazonal realizou várias turmas, cada uma produzindo gravações e recursos para a comunidade em geral. Gravações anteriores estão acessíveis através dos canais de vídeo do Instituto.
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.
A Escola Sazonal aceita inscrições de estudantes, pesquisadores e praticantes. Siga as comunicações do Instituto para edições futuras.
Superfícies-chave
Recursos relacionados
Os links externos são resolvidos a partir do registro compartilhado, mantendo assim os destinos visíveis ao visitante centralizados e verificáveis.
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.
Páginas Oficiais
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.
Repositórios
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