Towards a Theoretical Framework of Autonomous Systems Underpinned by Intelligenceand Systems Sciences

• 作者: Yingxu Wang Ming Hou Konstantinos N.Plataniotis Sam Kwong Henry Leung Edward Tunstel Imre J.Rudas Ljiljana Trajkovic
• 来源期刊: 自动化学报（英文版）
• 年，卷（期）: 2021,（1）
• 所属期刊栏目: PAPERS
• 页码范围: 52-63
• 页数: 12页
• 语种: 英文
• DOI: 10.1109/JAS.2020.1003432

摘要

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 aggre-gates from reflexive, imperative, adaptive intelligence to autono-mous 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 enginee-ring. 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.