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Comunicatori scientifici, educatori e pubblico interessato a contenuti scientifici accessibili.
Creare una diretta streaming per rendere la scienza accessibile alle persone senza un background scientifico.
In questa pagina
I Tre Moschettieri è un progetto ecosistema che crea uno spettacolo di comunicazione scientifica dal vivo per persone senza una formazione scientifica. Sviluppa un formato che rende le informazioni scientifiche, incluso l'Active Inference e il lavoro correlato, coinvolgenti e autenticamente accessibili.
The project creates a science communication livestream format — The Three Mosqueteers — that brings scientific concepts to audiences who wouldn't typically encounter them. The show aims to make Active Inference and the broader world of complex adaptive systems accessible through story, conversation, and collaborative exploration. It is facilitated by Héctor Manrique and Ana Magdalena Hurtado.
I comunicatori scientifici, gli educatori e i contributori di streaming dal vivo sono benvenuti.
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: 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.
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: 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.
Audience: Developer
Public RxInfer learning-group shortlink for implementation-oriented Active Inference work.
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