On the philosophical, cognitive and mathematical foundations of symbiotic autonomous systems

Yingxu WANG, Fakhri KARRAY, Sam KWONG, Konstantinos N. PLATANIOTIS, Henry LEUNG, Ming HOU, Edward TUNSTEL, Imre J. RUDAS, Ljiljana TRAJKOVIC, Okyay KAYNAK, Janusz KACPRZYK, Mengchu ZHOU, Michael H. SMITH, Philip CHEN, Shushma PATEL

Research output: Journal PublicationsJournal Article (refereed)peer-review

25 Citations (Scopus)

Abstract

Symbiotic autonomous systems (SAS) are advanced intelligent and cognitive systems that exhibit autonomous collective intelligence enabled by coherent symbiosis of human-machine interactions in hybrid societies. Basic research in the emerging field of SAS has triggered advanced general-AI technologies that either function without human intervention or synergize humans and intelligent machines in coherent cognitive systems. This work presents a theoretical framework of SAS underpinned by the latest advances in intelligence, cognition, computer, and system sciences. SAS are characterized by the composition of autonomous and symbiotic systems that adopt bio-brain-social-inspired and heterogeneously synergized structures and autonomous behaviours. This paper explores the cognitive and mathematical foundations of SAS. The challenges to seamless human-machine interactions in a hybrid environment are addressed. SAS-based collective intelligence is explored in order to augment human capability by autonomous machine intelligence towards the next generation of general AI, cognitive computers, and trustworthy mission-critical intelligent systems. Emerging paradigms and engineering applications of SAS are elaborated via autonomous knowledge learning systems that symbiotically work between humans and cognitive robots. This article is part of the theme issue 'Towards symbiotic autonomous systems'.
Original languageEnglish
Article number20200362
JournalPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume379
Issue number2207
Early online date16 Aug 2021
DOIs
Publication statusPublished - 4 Oct 2021
Externally publishedYes

Bibliographical note

Authors’ contributions: Co-authors, Y.W., F.K., S.K., K.N.P., H.L., M.H., E.T., I.J., L.T., O.K., J.K., M.Z., M.H.S., P.C. and S.P., have contributed evenly to this work through the Canadian Department of National Defence project AutoDefence, NSERC, and the IEEE SMCS Technical Committee on Brain-Inspired Cognitive Systems (TC-BCS). They are confirmed to meet all of the four authorship criteria. Competing interests: We declare we have no competing interests. Funding: This work is supported in part by the Canadian Department of National Defence through the AutoDefence project, Natural Sciences and Engineering Research Council (NSERC), and the IEEE SMC Society Technical Committee on Brain-Inspired Cognitive Systems (TC-BCS).

Keywords

  • autonomous systems
  • brain-inspired systems
  • cognitive cybernetics
  • cognitive systems
  • intelligence science
  • symbiotic autonomous systems

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