Agentic AI seeks to endow systems with sustained autonomy, reasoning, and interaction capabilities. To realize this vision, its assumptions about agency must be complemented by explicit models of cognition, cooperation, and governance. This paper argues that the conceptual tools developed within the Autonomous Agents and Multi-Agent Systems (AAMAS) community, such as BDI architectures, communication protocols, mechanism design, and institutional modelling, provide precisely such a foundation. By aligning adaptive, data-driven approaches with structured models of reasoning and coordination, we outline a path toward agentic systems that are not only capable and flexible, but also transparent, cooperative, and accountable. The result is a perspective on agency that bridges formal theory and practical autonomy.

翻译：具身人工智能致力于赋予系统持续的自主性、推理能力和交互能力。为实现这一愿景，其关于主体性的假设必须辅以明确的认知、协作与治理模型。本文认为，自主智能体与多智能体系统（AAMAS）领域发展出的概念工具——例如BDI架构、通信协议、机制设计以及制度建模——恰恰为此提供了基础。通过将自适应、数据驱动的方法与结构化的推理及协调模型相结合，我们勾勒出一条发展路径，旨在构建不仅具备强大能力与灵活性，同时兼具透明性、协作性与可问责性的具身系统。这一视角最终形成了一种连接形式化理论与实际自主性的主体性框架。