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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.
Il progetto crea un formato di livestream per la comunicazione scientifica — I Tre Moschettieri — che porta concetti scientifici a pubblici che normalmente non li incontrerebbero. Il programma mira a rendere Active Inference e il mondo più ampio dei sistemi adattivi complessi accessibile attraverso storia, conversazione ed esplorazione collaborativa. È facilitato da Héctor Manrique e 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