概述
教育课程开发项目为Active Inference学习者设计并生产课程。这包括入门级和高级课程,特定领域的教学大纲,以及可以应用于学院所有学习计划的模块化教育资源。该项目由Daniel Friedman协调。
此页面由机器翻译成中文。 查看英文原版。
教育者、课程设计师、教师和对正式主动推断课程感兴趣的学习者。
开发结构化的「主动推断」课程、教学大纲和教育资源。
在本页
教育课程开发是一个持续的研究所项目,生产结构化的关于主动推断和相关话题的课程。它维护一个Obsidian仓库和课程目录,为不同背景和学习目标开发教育材料。
教育课程开发项目为Active Inference学习者设计并生产课程。这包括入门级和高级课程,特定领域的教学大纲,以及可以应用于学院所有学习计划的模块化教育资源。该项目由Daniel Friedman协调。
课程可以通过研究所的课程页面和Obsidian仓库访问。材料采用开放许可证,设计用于重用。
欢迎教育者、教学设计师、学科专家以及对参与课程开发感兴趣的学习者。
关键表面
相关资源
外部链接从共享注册表解析,这样面向访问者的目的地保持集中和可检查。
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: 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: Learner
Public livestream surfaced from the official site.
官方页面
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: 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.
仓库
Audience: Learner
Active Inference and RxInfer.jl
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: Learner
For learning and exploring Probabilistic Inference
Audience: Developer
Public ants repository in the ActiveInferenceInstitute GitHub namespace.
Audience: Developer
ATLAS
Audience: Developer
Public Biofirm repository in the ActiveInferenceInstitute GitHub namespace.
Audience: Developer
Python codebase for cognitive and Active Inference-oriented modeling work.