We describe a cognitive architecture intended to solve a wide range of
problems based on the five identified principles of brain activity, with their
implementation in three subsystems: logical-probabilistic inference,
probabilistic formal concepts, and functional systems theory. Building an
architecture involves the implementation of a task-driven approach that allows
defining the target functions of applied applications as tasks formulated in
terms of the operating environment corresponding to the task, expressed in the
applied ontology. We provide a basic ontology for a number of practical
applications as well as for the subject domain ontologies based upon it,
describe the proposed architecture, and give possible examples of the execution
of these applications in this architecture.

本论文描述了一种基于脑活动的五个原则实现的认知体系结构，包括逻辑 - 概率推理、概率形式概念和功能系统理论三个子系统，建立体系结构需要实现任务驱动方法，提供了基本本体论，以及可能的应用示例。

基于脑原理编程的决策认知体系结构

Cognitive Architecture for Decision-Making Based on Brain Principles Programming (in Russian)

本文介绍了一种认知体系结构，其基于五个已确定的大脑活动原则，以三个子系统的实现为基础：逻辑概率推理、概率形式概念和功能系统理论。建立体系结构需要实现任务驱动方法，以允许将应用程序的目标函数定义为在应用本体中表达的任务，因此我们提供了一组基本本体用于一些实用应用程序以及基于该本体的主题域本体，并描述了提议的架构，并给出了这些应用程序在该架构中执行的可能示例。