The rapid development and adoption of Generative AI (GAI) technology in the form of chatbots such as ChatGPT and Claude has greatly increased interest in agentic machines. This paper introduces the Autonomous Cognitive Entity (ACE) model, a novel framework for a cognitive architecture, enabling machines and software agents to operate more independently. Drawing inspiration from the OSI model, the ACE framework presents layers of abstraction to conceptualize artificial cognitive architectures. The model is designed to harness the capabilities of the latest generative AI technologies, including large language models (LLMs) and multimodal generative models (MMMs), to build autonomous, agentic systems. The ACE framework comprises six layers: the Aspirational Layer, Global Strategy, Agent Model, Executive Function, Cognitive Control, and Task Prosecution. Each layer plays a distinct role, ranging from setting the moral compass and strategic thinking to task selection and execution. The ACE framework also incorporates mechanisms for handling failures and adapting actions, thereby enhancing the robustness and flexibility of autonomous agents. This paper introduces the conceptual framework and proposes implementation strategies that have been tested and observed in industry. The goal of this paper is to formalize this framework so as to be more accessible.

翻译：生成式AI（GAI）技术以ChatGPT和Claude等聊天机器人形式的快速发展和普及，极大地提升了人们对智能代理机器的兴趣。本文提出自主认知实体（ACE）模型，这是一种用于认知架构的新型框架，使机器和软件代理能够更独立地运行。受OSI模型启发，ACE框架通过抽象层概念化人工认知架构。该模型旨在利用最新生成式AI技术（包括大型语言模型LLMs和多模态生成模型MMMs）构建自主式代理系统。ACE框架包含六个层级：愿景层、全局策略层、代理模型层、执行功能层、认知控制层和任务执行层。每个层级在设定道德准则与战略思维、任务选择与执行等方面发挥独特作用。该框架还整合了故障处理与行动自适应机制，从而增强自主代理的鲁棒性和灵活性。本文介绍了该概念框架，并提出了已在工业界测试和验证的实施策略，旨在通过形式化该框架提升其可访问性。