Diese Seite wurde maschinell aus dem Englischen übersetzt. Sehen Sie sich die englische Originalversion an.
Lernende und Forscher, die nach strukturierten Einstiegspunkten suchen.
Lehrbücher, Videos, Podcasts, Kurse, Forschungsressourcen, Implementierungen und technische Grundlagen.
Auf dieser Seite
Lernressourcen leiten Neulinge und erfahrene Teilnehmer zu lebenden Referenzen, Livestreams, Active Inference Insights, Lehrbuchgruppen, Lektüre, Code-Implementierungen und domänenspezifischen Kursen.
Beginnen Sie mit dem Ökosystem-Referenzpunkt, dem Start-Repository, öffentlichen Livestreams, Podcasts und Lerngruppen. Die Website bietet eine stabile öffentliche Karte, während Discord und wiederkehrende Veranstaltungen synchronen Teilnahme ermöglichen.
Lernpfade umfassen das Lehrbuch von Thomas Parr, Giovanni Pezzulo und Karl J. Friston aus dem Jahr 2022, Maxwell Ramsteads Präzisierung aus dem Jahr 2023, Jared Tumiels "Spinning Up in Active Inference", Beren Millidges Papierrepositorium sowie Arbeiten zur Ontologie und Teams von Active Inference.
Lernoberflächen umfassen die Grundlagen der Aktiven Inferenz, Lehrbuchgruppe, Sozialwissenschaftskurs, Physikkurs, RxInfer.jl Lerngruppe, Jahreskurs und theoretische Neurobiologiegespräche.
Implementierungswege umfassen RxInfer.jl, PyMDP, SPM, symbolische kognitive Robotik und offene Repositories. Diese unterstützen praktisches Modellieren und Experimentieren.
Technologiebaum-Erforscher
Eine interaktive Karte der Konzepte, Methoden und Werkzeuge über den Tech-Trees von Aktiver Inferenz und Freiem Energieprinzip. Wähle einen Knoten aus, um seine Nachbarn zu betonen; filtere nach Beziehungstyp.
Schlüsselflächen
Ein gemeinsamer Weg durch die Grundlagen der Aktiven Inferenz.
Öffentliche Updates, Seminare, Modell-Streams, Gast-Streams und Bildungsaufzeichnungen.
Podkast-Material für Gespräche, verfügbar über öffentliche Medienkanäle.
Referenzen, Repositorien, Papiere, Ontologien und Implementierungslinks.
Ein strukturierter Weg durch Konzepte, Methoden und Anwendungen.
RxInfer.jl, PyMDP, SPM und symbolische kognitive Robotik.
Ideen und Methoden
Eine kompakte Auswahl aus den Technologiestammbaumknoten von Aktiver Inferenz und Freiem Energieprinzip
| Idea | Type | Maturity | Summary | Tags | Tree |
|---|---|---|---|---|---|
| Action as Active Inference | Application | Established | Action as the process of changing the world to fulfill predictions, minimizing free energy by acting on the environment rather than updating beliefs. | action, embodied, motor | Active Inference |
| Learning as Model Update | Application | Established | Learning as the slow update of generative model parameters to minimize long-term free energy, encompassing synaptic plasticity and structure learning. | learning, model-update, plasticity | Active Inference |
| Perception as Inference | Application | Established | Perception understood as Bayesian inference — updating internal generative models to explain away prediction errors from sensory input. | inference, perception, sensory | Active Inference |
| Active Inference | Concept | Established | The process theory derived from the Free Energy Principle: agents act to fulfill predictions and minimize expected free energy through perception and action. | active-inference, process-theory | Active Inference |
| Allostasis | Concept | Advanced | Predictive homeostasis — anticipatory regulation that adjusts setpoints based on expected future demands rather than reacting to deviations. | anticipatory, predictive, regulation | Free Energy Principle |
| Autopoiesis | Concept | Established | Self-producing systems as defined by Maturana and Varela — living systems that continuously produce and maintain themselves. | maturana, self-production, varela | Free Energy Principle |
| Entropy | Concept | Established | A measure of uncertainty or disorder in a probability distribution, connecting information theory to thermodynamics. | disorder, entropy, uncertainty | Free Energy Principle |
| Expected Free Energy | Concept | Established | The objective function for policy selection in active inference, combining epistemic (information-seeking) and pragmatic (goal-seeking) drives. | efe, epistemic, policy-selection, pragmatic | Active Inference |
Verwandte Ressourcen
Externe Links werden aus dem gemeinsamen Register aufgelöst, sodass zielgerichtete Bestimmungen zentralisiert und überprüfbar bleiben.
Audience: Newcomer
Current public landing page for the Institute, including mission, vision, open-science framing, and the Get Started pathway.
Audience: Newcomer
Recurring public update surface for activity orientation and current work.
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: Learner
Public START documentation site for tailored Active Inference learning and curriculum generation.
Audience: Newcomer
Public video channel for seminars, streams, educational sessions, and community recordings.
Audience: Newcomer
Direct handle for the public YouTube presence.
Audience: Newcomer
Public videos and podcasts shortlink for browsing recordings by format and topic.
Audience: Newcomer
Podcast destination for Active Inference conversations and interviews.
Audience: Developer
Public GitHub organization for Institute repositories and open-source work.
Audience: Developer
Generalized Notation Notation project repository for model communication.
Audience: Researcher
Research and publication-oriented repository for the Active Inference Journal.
Offizielle Seiten
Audience: Newcomer
Current public Institute landing page with mission, vision, nonprofit status, community metrics, and Get Started pathway.
Audience: Learner
Official education entry point, currently resolving to courses.
Audience: Learner
Official courses page for learning Active Inference.
Audience: Learner
Official Textbook Group page.
Audience: Learner
Official livestreams page.
Audience: Researcher
Official research entry point, currently resolving to the research overview.
Audience: Researcher
Official research overview page.
Audience: Developer
Official RxInfer learning page.
Repoziteure
Audience: Researcher
Computational meta-analysis of Active Inference literature with nanopublication and knowledge-graph outputs.
Audience: Learner
Active Inference and RxInfer.jl
Audience: Researcher
Ontology-oriented repository for shared Active Inference concepts and decentralized science knowledge infrastructure.
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
Audience: Researcher
Case-enabled Bayesian reasoning engine for unified modeling and cognitive representations.