Уровень 0 · материалов: 3
В кластер включены документы, описывающие архитектуру и принципы работы систем, имитирующих когнитивные функции человека, и исключены материалы по общим методам информационного моделирования или нечеткой логике.
Общие признаки: моделирование человеческого разума, представление знаний, имитация экспертного мышления, структуры искусственного интеллекта
Группа выше: Сильный ИИ: возможен ли он и каким путём
Смысл: The main idea is to explain the conceptual framework, history, and technical implementation of expert systems, specifically focusing on how different knowledge representation models allow computers to simulate human expert reasoning.
An educational guide on expert systems covering their history, structural components, and the four primary models of knowledge representation used to simulate human expertise.
Смысл: The text presents a comprehensive reconstruction of N.M. Amosov's theory on modeling the human psyche and 'Artificial Reason.' It argues that intelligent behavior emerges from a hierarchy of interacting informational models regulated by a specialized activation-inhibition system, providing both the theoretical framework and a software implementation in Delphi.
A technical and theoretical exploration of N.M. Amosov's approach to Artificial Intelligence using M-networks and a specialized activation-inhibition system, including a Delphi implementation.
Смысл: The text describes the creation of SPAUN, a functional brain model designed to simulate the actual biological processes and organizational structure of the human brain rather than just solving specific AI tasks.
Researchers from the University of Waterloo created SPAUN, a large-scale neural model simulating 2.5 million neurons to replicate the functional architecture and cognitive flexibility of the human brain.