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

Author:

Wang Yingxu1ORCID,Karray Fakhri2,Kwong Sam3,Plataniotis Konstantinos N.4,Leung Henry1,Hou Ming 5,Tunstel Edward6,Rudas Imre J.7,Trajkovic Ljiljana 8,Kaynak Okyay9ORCID,Kacprzyk Janusz 10,Zhou Mengchu11,Smith Michael H.12,Chen Philip13,Patel Shushma14

Affiliation:

1. FIEEEs, Department of Electrical and Software Engineering, Schulich School of Engineering and Hotchkiss Brain Institute, Int'l Institute of Cognitive Informatics and Cognitive Computing (ICICC), University of Calgary, Calgary, Canada

2. FIEEE, Department of Electrical and Computer Engineering, University of Waterloo, Ontario, Canada

3. FIEEE, Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong

4. FIEEE, Department of Electrical and Computer Engineering, University of Toronto, Ontario, Canada

5. SMIEEE, Toronto Research Centre, DRDC, Toronto, ON, Canada

6. FIEEE, Autonomous and Intelligent Systems Department, Raytheon Technologies Research Center, East Hartford, CT, USA

7. FIEEE, University Research and Innovation Center (EKIK), Óbuda University, Budapest, Hungary

8. FIEEE, School of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada

9. FIEEE, Bogazici University, Bebek, Istanbul, Turkey

10. IEEE, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

11. FIEEE, Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, NJ, USA

12. SMIEEE, Furaxa, Inc., Orinda, CA, USA

13. FIEEE, School of Computer Science and Engineering, South China University of Technology, Guangzhou, People's Republic of China

14. FBCS, Faculty of Computing, Engineering and Media, De Montfort University, Leicester, UK

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'.

Funder

Canadian Department of National Defence: Project AutoDefence

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Reference52 articles.

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