Paper Info
Title
Towards a theoretical framework of autonomous systems underpinned by intelligence and systems sciences
Abstract
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.
Year
DOI
Venue
2021
10.1109/JAS.2020.1003432
IEEE/CAA Journal of Automatica Sinica
Keywords
DocType
Volume
systems sciences,intelligent foundations,mathematical foundations,imperative intelligence,adaptive intelligence,autonomous intelligence,cognitive intelligence,hierarchical intelligence model,human system intelligence,computational intelligence,systems engineering,autonomous knowledge learning systems,intelligent machines,brain-inspired systems,human capability augmentation,cognitive robots
Journal
8
Issue
ISSN
Citations 
1
2329-9266
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Yingxu Wang13339314.66
Ming Hou2154.43
Konstantinos N. Plataniotis32135156.77
Sam Kwong44590315.78
Henry Leung51309151.88
Edward Tunstel615427.48
Imre J. Rudas738863.89
Ljiljana Trajkovic829535.23