Towards a Theoretical Framework of Autonomous Systems Underpinned by Intelligenceand Systems SciencesOACSCD
Towards a Theoretical Framework of Autonomous Systems Underpinned by Intelligenceand Systems Sciences
Yingxu Wang;Ming Hou;Konstantinos N.Plataniotis;Sam Kwong;Henry Leung;Edward Tunstel;Imre J.Rudas;Ljiljana Trajkovic
International Institute of Cognitive Informatics and Cognitive Computing, Department of Electrical and Computer Engineering, Schulich School of Engineering and Hotchkiss Brain Institute, University of Calgary, Calgary T2N 1N4, CanadaToronto Research Centre, Defence Research &Development Canada, Toronto M3K 2C9, CanadaDepartment of Electrical & Computer Engin-eering, University of Toronto, Toronto M5S3G4, CanadaDepartment of Computer Science, City University of Hong Kong, Hong Kong, ChinaDepartment of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, Calgary T2N 1N4, CanadaAutonomous & Intelligent Systems Department, United Technologies Research Center, CT 06108 USAUniversity Research & Innovation Center (EKIK), óbuda University, Budapest H-1034, HungarySchool of Engineering Science, Simon Fraser University, Burnaby V5A 1S6, Canada
Autonomous systems (AS)cognitive systemscomputational intelligenceengineering paradigmsintelligence scienceintelligent mathematics
Autonomous systems (AS)cognitive systemscomputational intelligenceengineering paradigmsintelligence scienceintelligent mathematics
《自动化学报（英文版）》 2021 (1)
52-63,12
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).