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：本文提出了一种新的认知模型，作为通用人工智能（AGI）智能体的核心组件。该模型以成熟智能状态呈现，是对先前模型DENN（尤其是AKREM）的扩展，通过纳入操作模型（框架/类）和意志来实现。该模型的核心假设是：认知过程是在适当意志引导下对积累知识进行运作的过程。同时，我们假设作为知识组成部分的行为，在成熟智能状态之前的演化阶段中，会逐渐学习与意志保持一致。此外，该模型主要基于每个已知智能层面的二元性原理，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。更进一步，我们倡导AGI设计的整体性方法，并提出约束条件下的认知或效率认知，具体表现为可复用性与简洁性。最后，通过从婴儿期到成年期的认知演化过程，并借助巩固原则，描述了达到这一成熟状态的过程。该认知模型的最终产物是一个包含模型与实例的动态操作记忆体。文末还给出了演化阶段达到成熟状态的部分示例与初步设想。