控制论和人工智能的历史:来自圣彼得堡的观点

Q3 Physics and Astronomy Cybernetics and Physics Pub Date : 2022-12-30 DOI:10.35470/2226-4116-2022-11-3-253-263

Alexander L. Fradkov, A. Shepeljavyi

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引用次数: 3

摘要

在这篇文章中，控制论和人工智能在世界上的历史，特别是在苏联概述了从20世纪40年代到50年代开始。更详细地描述了这些地区在20世纪60年代的迅速发展。特别关注列宁格勒(圣彼得堡)研究人员的成果，特别是弗拉基米尔·雅库博维奇及其科学学派在机器学习，模式识别，自适应系统，智能机器人及其对控制论和人工智能进一步发展的重要性方面的工作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The history of cybernetics and artificial intelligence: a view from Saint Petersburg

In the article the history of cybernetics and artificial intelligence in the world and, particularly in the USSR is outlined starting from the 1940s-1950s. The rapid development of these areas in the 1960s is described in more detail. Special attention is paid to the results of Leningrad (St. Petersburg) researchers, particularly to the work of Vladimir Yakubovich and his scientific school on machine learning, pattern recognition, adaptive systems, intelligent robots and their importance for the further development of cybernetics and artificial intelligence.

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来源期刊

Cybernetics and Physics Chemical Engineering-Fluid Flow and Transfer Processes

CiteScore

1.70

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： The scope of the journal includes: -Nonlinear dynamics and control -Complexity and self-organization -Control of oscillations -Control of chaos and bifurcations -Control in thermodynamics -Control of flows and turbulence -Information Physics -Cyber-physical systems -Modeling and identification of physical systems -Quantum information and control -Analysis and control of complex networks -Synchronization of systems and networks -Control of mechanical and micromechanical systems -Dynamics and control of plasma, beams, lasers, nanostructures -Applications of cybernetic methods in chemistry, biology, other natural sciences The papers in cybernetics with physical flavor as well as the papers in physics with cybernetic flavor are welcome. Cybernetics is assumed to include, in addition to control, such areas as estimation, filtering, optimization, identification, information theory, pattern recognition and other related areas.