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Towards a Theoretical Framework of Autonomous Systems Underpinned by Intelligence and Systems Sciences

机译:走向受智能和系统科学的自治系统的理论框架

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Autonomous systems are an emerging AI technology functioning without human intervention underpinned by the latest advances in intelligence,cognition,computer,and systems sciences.This paper explores the intelligent and mathematical foundations of autonomous systems.It focuses on structural and behavioral properties that constitute the intelligent power of autonomous systems.It explains how system intelligence aggregates from reflexive,imperative,adaptive intelligence to autonomous and cognitive intelligence.A hierarchical intelligence model(HIM)is introduced to elaborate the evolution of human and system intelligence as an inductive process.The properties of system autonomy are formally analyzed towards a wide range of applications in computational intelligence and systems engineering.Emerging paradigms of autonomous systems including brain-inspired systems,cognitive robots,and autonomous knowledge learning systems are described.Advances in autonomous systems will pave a way towards highly intelligent machines for augmenting human capabilities.
机译:自主系统是一个新兴AI技术运作,没有人为干预,受到智力,认知,计算机和系统科学的最新进展。本文探讨了自治系统的智能和数学基础。它侧重于构成智能的结构和行为属性自主系统的力量。它解释了系统智能从反思,势在必行,自适应智能到自主和认知情报的影响。引入了分层情报模型(他),以详细说明人类和系统智能的演变为归纳过程。系统自主权在计算智能和系统工程中正式分析了各种应用。描述了自治系统,包括脑激发系统,认知机器人和自主知识学习系统的自治系统的范式。自治系统中的addrousd将为嗨提供方式用于增强人类能力的GHILL智能机器。

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