The Autonomous Cognitive Entity (ACE) framework provides a layered architecture for developing self-directing, self-modifying, and self-stabilizing autonomous machine entities. Inspired by biological cognition and principles from computer science, it coordinates specialized functions to enable sophisticated reasoning, planning, and ethical decision-making.
At the core of the ACE framework is a "cognition-first" approach that emphasizes internal cognitive processes over reactive input-output loops. This prioritizes imagination, reflection, and strategic thinking, with environmental interaction being secondary.
Information flows bidirectionally between adjacent layers to coordinate cognition from abstract reasoning to concrete actions. Together, these layers aim to produce an AGI architecture grounded in ethics and aligned with human values.
The ACE framework provides a conceptual blueprint for autonomous agents that are corrigible, transparent, and beneficial by design. It balances goal-directedness with moral principles to shape behavior. By elucidating this layered cognitive architecture, the ACE framework offers a comprehensive reference for developing aligned AGI.