This article proposes a research and development direction that would lead to the creation of next-generation intelligent technical systems. A distinctive feature of these systems is their ability to undergo evolutionary change. Cognitive architectures are now one of the most promising ways to create Artificial General Intelligence systems. One of the main problems of modern cognitive architectures is an excessively schematic approach to modeling the processes of cognitive activity. It does not allow the creation of a universal architecture that would be capable of reproducing higher nervous functions without using a predetermined set of perception patterns. Our paper proposes an evolutionary approach to creating a cognitive architecture. The basis of this approach is the use of a functional core, which consistently generates the intellectual functions of an autonomous agent. We are considering a cognitive architecture that includes components, the interaction of which ensures the evolution of the agent. The discussion of the development of intelligence is carried out using the conceptual apparatus of semiotics. This allows us to consider the task of developing cognitive functions as a problem of establishing a connection between the Merkwelt and the Werkwelt through the creation of the Innenwelt. The problem of early postnatal ontogenesis is investigated on the basis of the theory of constructivism: we discuss the requirements for the functional core and its composition, as well as the mechanism that initiates the process of cognition.

翻译：本文提出了一种研究与开发方向，旨在引领下一代智能技术系统的创建。这类系统的显著特征在于其能够经历演化性变革。认知架构当前是构建人工通用智能系统最具前景的路径之一。现代认知架构的一个核心问题在于其对认知活动过程的建模方法过于图式化，这阻碍了创建一种通用架构的可能性——该架构需能在不使用预设感知模式集合的情况下复现高级神经功能。本文提出一种创建认知架构的演化方法，其基础在于利用一个功能核心，该核心能持续生成自主智能体的智力功能。我们探讨的认知架构包含若干组件，其间的相互作用确保了智能体的演化过程。关于智能发展的讨论借助符号学的概念体系展开，这使得我们可以将认知功能的发展任务视为通过构建内部世界（Innenwelt）来建立感知世界（Merkwelt）与作用世界（Werkwelt）之间联系的问题。基于建构主义理论，我们研究了早期产后个体发育问题：具体探讨了对功能核心及其构成的要求，以及启动认知过程的机制。