概述
GNN 定义了一种用于生成模型的符号系统,这些模型在主动推断及其相关框架中被使用。通过标准化模型描述的方式,GNN 使研究人员之间的交流更加清晰,不同实现之间的翻译变得更容易,并提供了更强大的工具来指定和分析模型。
此页面由机器翻译成中文。 查看英文原版。
模型师、研究人员和开发人员,专注于生成模型且希望拥有互操作性符号的人。
一个基于文本的符号系统,用于交流生成模型和主动推断系统。
在本页
通用符号表示(GNN)是一个基于文本的符号表示项目,用于交流和指定生成模型。它提供了一种共享语言,以人类可读和机器可处理的方式描述“主动推断”及相关模型,从而实现不同工具和平台之间的互操作性。
GNN 定义了一种用于生成模型的符号系统,这些模型在主动推断及其相关框架中被使用。通过标准化模型描述的方式,GNN 使研究人员之间的交流更加清晰,不同实现之间的翻译变得更容易,并提供了更强大的工具来指定和分析模型。
GNN 有一个活跃的仓库,并在多个研究所项目中被使用。文档和示例可以通过仓库访问。
贡献包括规范工作、工具开发、文档编写以及将GNN应用于新建模领域。具备形式建模或Active Inference背景有帮助。
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