概述
积极推断蚁开发了使用积极推断的多代理模型，以模拟和理解集体行为。该项目受社会昆虫生物学启发，特别是蚂蚁群觅食和组织，并应用生成模型来理解本地代理行为如何产生集体智能，而无需中央协调。
此页面由机器翻译成中文。 查看英文原版。
对多代理系统、集体行为和主动推断感兴趣的研究人员、建模者和工程师。
活跃的推断者
使用「主动推断」进行多代理集体行为建模，并将其与蚂蚁群研究相联系。
该项目已存档。它不再活跃，下面的参与提示描述了它以前的操作方式。
在本页
活跃的推断者 指南
主动推断蚁是应用主动推断到集体行为的一个多代理建模项目，受蚂蚁群动力学启发。它产生了一个GitHub仓库、2021年论文以及来自主动块推断项目的代码，在不同的建模背景下有多个实现。
过去工作和论文
项目的基础论文是Friedman, Tschantz, Ramstead, Friston和Constant (2021)的《蚂蚁行为中的主动推理框架》，发表在Frontiers in Behavioral Neuroscience——这是第一个将信息素介导的通信建模到主动推理框架中的论文。该项目还维护了一个GitHub存储库，包含多个代码实现，并通过Active Blockference项目的一部分进行开发。这项工作涵盖了个体代理模型、集体觅食场景以及理论扩展等多个方面。
参与
欢迎具有计算生物学、多代理系统、主动推断或行为生态学背景的贡献者。技术贡献（代码、模型）和概念性工作（理论、文档）均受到重视。
关键表面
一瞥活跃的推断者
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