积极推断提供了什么
积极推断将感知、行动、不确定性和基于模型的适应联系起来。该研究所将其作为科学探索、工程实践、教育和集体意义构建的一个共享框架。
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新手、学习者、研究人员、构建者和合作者。
一个理解感知、行动、学习、认知和适应性系统的框架。
在本页
主动推断是研究所教育、研究、应用和生态系统支持的核心科学和实践框架。
积极推断将感知、行动、不确定性和基于模型的适应联系起来。该研究所将其作为科学探索、工程实践、教育和集体意义构建的一个共享框架。
新手可以从生态系统参考、Start仓库、公共直播、播客、学习小组、阅读材料和实现开始。该网站将这些入口点分为稳定的公开路径。
实现路径包括RxInfer.jl、PyMDP、SPM、符号认知机器人学、记号工具和领域特定仓库。这些支持建模、模拟、推断和应用实验。
积极推断在生物学、神经科学、心理健康、机器人学、教育、经济学、物理学、社会系统、物流、去中心化科学和科学方法等领域中出现。
关键表面
一个共享的语言,用于感知、行动、不确定性和自适应系统。
教科书小组、课程、流媒体、播客、阅读材料和共享学习仓库。
软件实现、模型构建、项目工作和应用示例。
一个跨科学和实际领域应用该框架的广泛社区。
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
Current public landing page for the Institute, including mission, vision, open-science framing, and the Get Started pathway.
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Learning repository for getting started with Active Inference materials and pathways.
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Public ecosystem shortlink for Institute context, projects, activities, and conceptual maps.
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Public START documentation site for tailored Active Inference learning and curriculum generation.
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Public video channel for seminars, streams, educational sessions, and community recordings.
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Public videos and podcasts shortlink for browsing recordings by format and topic.
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Public GitHub organization for Institute repositories and open-source work.
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Project repository for multiagent Active Inference modeling work.
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Generalized Notation Notation project repository for model communication.
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Geospatial modeling repository connected to ecological and bioregional applications.
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Research and publication-oriented repository for the Active Inference Journal.
Audience: Contributor
Public Project Preparation shortlink for making proposed work legible and actionable.
官方页面
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: Researcher
Official research entry point, currently resolving to the research overview.
Audience: Researcher
Official research overview page.
Audience: Developer
Official Knowledge Engineering page.
Audience: Developer
Official Active Blockference page.
仓库
Audience: Researcher
Computational meta-analysis of Active Inference literature with nanopublication and knowledge-graph outputs.
Audience: Learner
Active Inference and RxInfer.jl
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Ontology-oriented repository for shared Active Inference concepts and decentralized science knowledge infrastructure.
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Notebook-based applied Active Inference work connected to blockchain-adjacent and generative modeling examples.
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Python models and materials for ant-inspired multiagent Active Inference.
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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.