A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 8 Issue 1
Jan.  2021

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Yingxu Wang, Ming Hou, Konstantinos N. Plataniotis, Sam Kwong, Henry Leung, Edward Tunstel, Imre J. Rudas and Ljiljana Trajkovic, "Towards a Theoretical Framework of Autonomous Systems Underpinned by Intelligence and Systems Sciences," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 52-63, Jan. 2021. doi: 10.1109/JAS.2020.1003432
Citation: Yingxu Wang, Ming Hou, Konstantinos N. Plataniotis, Sam Kwong, Henry Leung, Edward Tunstel, Imre J. Rudas and Ljiljana Trajkovic, "Towards a Theoretical Framework of Autonomous Systems Underpinned by Intelligence and Systems Sciences," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 52-63, Jan. 2021. doi: 10.1109/JAS.2020.1003432

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

doi: 10.1109/JAS.2020.1003432
Funds:  This work was supported in part by the Department of National Defence’s Innovation for Defence Excellence and Security (IDEaS) Program, Canada, through the Project of AutoDefence: Towards Trustworthy Technologies for Autonomous Human-Machine Systems, NSERC, and the IEEE SMC Society Technical Committee on Brain-Inspired Systems (TC-BCS)
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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.

     

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    Highlights

    • AS are advanced intelligent systems functioning without human intervention or with humans in the loop.
    • Few AS had been developed constrained by bottlenecks of adaptive and indeterministic computing.
    • AS are underpinned by intelligence, brain, cybernetic sciences and Intelligent Mathematics (IM).
    • The basic unit of knowledge represented by AS is discovered as a binary relation (bir).
    • AS mimic the brain from reflexive, imperative, adaptive to autonomous/cognitive intelligence.

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