On Future Development of Autonomous Systems: A Report of the Plenary Panel at IEEE ICAS’21

Yingxu Wang, I. Pitas, K. Plataniotis, C. Regazzoni, Brian M. Sadler, A. Roy-Chowdhury, Ming Hou, Arash Mohammadi, L. Marcenaro, Farokh Atashzar, S. alZahir
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引用次数: 9

Abstract

Autonomous Systems (AS) are perceived as the most advanced intelligent systems evolved from those of reflexive, imperative, and adaptive intelligence. A plenary panel on “Future Development of Autonomous Systems” is organized at the inaugural IEEE ICAS’21. This paper reports the panel discussions about the-state-of-the-art and paradigms of AS, the basic research on theoretical foundations and mathematical means of AS, and challenges to the future development of AS. As an emerging and increasingly demanded field, AS provide an unprecedented approach to contemporary intelligent industries including deep machine learning, highly intelligent robotics, cognitive computers, general AI technologies, and industrial applications enabled by transdisciplinary advances in intelligence science, system science, brain science, cognitive science, robotics, computational intelligence, and intelligent mathematics.
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关于自主系统的未来发展:IEEE ICAS ' 21全体小组报告
自治系统(AS)被认为是由反射性、命令性和适应性智能进化而来的最先进的智能系统。在首届IEEE ICAS ' 21上组织了一个关于“自主系统的未来发展”的全体会议小组。本文介绍了AS的发展现状和范式、AS的理论基础和数学方法的基础研究以及AS未来发展面临的挑战。作为一个新兴且需求日益增长的领域,As为当代智能产业提供了前所未有的途径,包括深度机器学习、高度智能机器人、认知计算机、通用人工智能技术,以及智能科学、系统科学、脑科学、认知科学、机器人、计算智能和智能数学等跨学科进展的工业应用。
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