This paper proposes a new cognitive model, acting as the main component of an AGI agent. The model is introduced in its mature intelligence state, and as an extension of previous models, DENN, and especially AKREM, by including operational models (frames/classes) and will. This model's core assumption is that cognition is about operating on accumulated knowledge, with the guidance of an appropriate will. Also, we assume that the actions, part of knowledge, are learning to be aligned with will, during the evolution phase that precedes the mature intelligence state. In addition, this model is mainly based on the duality principle in every known intelligent aspect, such as exhibiting both top-down and bottom-up model learning, generalization verse specialization, and more. Furthermore, a holistic approach is advocated for AGI designing, and cognition under constraints or efficiency is proposed, in the form of reusability and simplicity. Finally, reaching this mature state is described via a cognitive evolution from infancy to adulthood, utilizing a consolidation principle. The final product of this cognitive model is a dynamic operational memory of models and instances. Lastly, some examples and preliminary ideas for the evolution phase to reach the mature state are presented.

翻译：本文提出一种新的认知模型，作为通用人工智能（AGI）智能体的核心组件。该模型以其成熟智能状态呈现，并作为对先前模型DENN，特别是AKREM的扩展，纳入了操作模型（框架/类）与意志。其核心假设是：认知活动是在适当意志的引导下，对累积知识进行操作的过程。此外，我们假设在成熟智能状态之前的前演化阶段，作为知识组成部分的动作会逐步学习与意志对齐。同时，该模型主要基于每个已知智能方面的二元性原理，例如同时展现自上而下与自下而上的模型学习、泛化与特化等对立统一特性。进一步地，本文倡导采用整体论方法进行AGI设计，并以可重用性与简洁性为形式，提出约束或效率导向下的认知机制。最后，通过运用巩固原理，描述了从婴儿期到成年期的认知演化过程以达成该成熟状态。该认知模型的最终产物是一个由模型与实例构成的动态操作记忆。本文还提供了演化阶段达成成熟状态的部分示例与初步构想。