Brain-Inspired Systems : A Transdisciplinary Exploration on Cognitive Cybernetics, Humanity, and Systems Science Toward Autonomous Artificial Intelligence

Yingxu WANG; Sam KWONG; Henry LEUNG; Jianhua LU; Michael H. SMITH; Ljiljana TRAJKOVIC; Edward TUNSTEL; Konstantinos N. PLATANIOTIS; Gary G. YEN; Witold KINSNER

doi:10.1109/MSMC.2018.2889502

Brain-Inspired Systems : A Transdisciplinary Exploration on Cognitive Cybernetics, Humanity, and Systems Science Toward Autonomous Artificial Intelligence

Yingxu WANG, Sam KWONG, Henry LEUNG, Jianhua LU, Michael H. SMITH, Ljiljana TRAJKOVIC, Edward TUNSTEL, Konstantinos N. PLATANIOTIS, Gary G. YEN, Witold KINSNER

Research output: Journal Publications › Journal Article (refereed) › peer-review

Abstract

Brain-inspired cognitive systems (BCSs) are an emerging field of cybernetics, cognitive science, and system science. BCSs study not only the intelligence science foundations of artificial intelligence (AI) and cognitive systems, but also formal models of the brain embodied by computational intelligence. This article presents the brain and intelligence science foundations of BCS toward hybrid intelligent systems and the symbiotic intelligence of humanity. It explores the transdisciplinary theoretical foundations of system, brain, intelligence, knowledge, cybernetic, and cognitive sciences toward the next generation of knowledge processors beyond classic data processors for autonomous computing systems. A BCS provides an overarching platform for cognitive cybernetics, humanity, and systems to enable emerging hybrid societies shared by humans and intelligent machines.

Original language	English
Pages (from-to)	6-13
Number of pages	8
Journal	IEEE Systems, Man and Cybernetics Magazine
Volume	6
Issue number	1
Early online date	15 Jan 2020
DOIs	https://doi.org/10.1109/MSMC.2018.2889502
Publication status	Published - Jan 2020
Externally published	Yes

Keywords

Cognitive systems
Program processors
Brain modeling
Computational modeling
Brain models
Intelligent systems

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10.1109/MSMC.2018.2889502Licence: Other

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WANG, Y., KWONG, S., LEUNG, H., LU, J., SMITH, M. H., TRAJKOVIC, L., TUNSTEL, E., PLATANIOTIS, K. N., YEN, G. G., & KINSNER, W. (2020). Brain-Inspired Systems : A Transdisciplinary Exploration on Cognitive Cybernetics, Humanity, and Systems Science Toward Autonomous Artificial Intelligence. IEEE Systems, Man and Cybernetics Magazine, 6(1), 6-13. https://doi.org/10.1109/MSMC.2018.2889502

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title = "Brain-Inspired Systems : A Transdisciplinary Exploration on Cognitive Cybernetics, Humanity, and Systems Science Toward Autonomous Artificial Intelligence",

abstract = "Brain-inspired cognitive systems (BCSs) are an emerging field of cybernetics, cognitive science, and system science. BCSs study not only the intelligence science foundations of artificial intelligence (AI) and cognitive systems, but also formal models of the brain embodied by computational intelligence. This article presents the brain and intelligence science foundations of BCS toward hybrid intelligent systems and the symbiotic intelligence of humanity. It explores the transdisciplinary theoretical foundations of system, brain, intelligence, knowledge, cybernetic, and cognitive sciences toward the next generation of knowledge processors beyond classic data processors for autonomous computing systems. A BCS provides an overarching platform for cognitive cybernetics, humanity, and systems to enable emerging hybrid societies shared by humans and intelligent machines.",

keywords = "Cognitive systems, Program processors, Brain modeling, Computational modeling, Brain models, Intelligent systems",

author = "Yingxu WANG and Sam KWONG and Henry LEUNG and Jianhua LU and SMITH, {Michael H.} and Ljiljana TRAJKOVIC and Edward TUNSTEL and PLATANIOTIS, {Konstantinos N.} and YEN, {Gary G.} and Witold KINSNER",

year = "2020",

month = jan,

doi = "10.1109/MSMC.2018.2889502",

language = "English",

volume = "6",

pages = "6--13",

journal = "IEEE Systems, Man and Cybernetics Magazine",

issn = "2380-1298",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "1",

}

WANG, Y, KWONG, S, LEUNG, H, LU, J, SMITH, MH, TRAJKOVIC, L, TUNSTEL, E, PLATANIOTIS, KN, YEN, GG & KINSNER, W 2020, 'Brain-Inspired Systems : A Transdisciplinary Exploration on Cognitive Cybernetics, Humanity, and Systems Science Toward Autonomous Artificial Intelligence', IEEE Systems, Man and Cybernetics Magazine, vol. 6, no. 1, pp. 6-13. https://doi.org/10.1109/MSMC.2018.2889502

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AU - WANG, Yingxu

AU - KWONG, Sam

AU - LEUNG, Henry

AU - LU, Jianhua

AU - SMITH, Michael H.

AU - TRAJKOVIC, Ljiljana

AU - TUNSTEL, Edward

AU - PLATANIOTIS, Konstantinos N.

AU - YEN, Gary G.

AU - KINSNER, Witold

PY - 2020/1

Y1 - 2020/1

N2 - Brain-inspired cognitive systems (BCSs) are an emerging field of cybernetics, cognitive science, and system science. BCSs study not only the intelligence science foundations of artificial intelligence (AI) and cognitive systems, but also formal models of the brain embodied by computational intelligence. This article presents the brain and intelligence science foundations of BCS toward hybrid intelligent systems and the symbiotic intelligence of humanity. It explores the transdisciplinary theoretical foundations of system, brain, intelligence, knowledge, cybernetic, and cognitive sciences toward the next generation of knowledge processors beyond classic data processors for autonomous computing systems. A BCS provides an overarching platform for cognitive cybernetics, humanity, and systems to enable emerging hybrid societies shared by humans and intelligent machines.

AB - Brain-inspired cognitive systems (BCSs) are an emerging field of cybernetics, cognitive science, and system science. BCSs study not only the intelligence science foundations of artificial intelligence (AI) and cognitive systems, but also formal models of the brain embodied by computational intelligence. This article presents the brain and intelligence science foundations of BCS toward hybrid intelligent systems and the symbiotic intelligence of humanity. It explores the transdisciplinary theoretical foundations of system, brain, intelligence, knowledge, cybernetic, and cognitive sciences toward the next generation of knowledge processors beyond classic data processors for autonomous computing systems. A BCS provides an overarching platform for cognitive cybernetics, humanity, and systems to enable emerging hybrid societies shared by humans and intelligent machines.

KW - Cognitive systems

KW - Program processors

KW - Brain modeling

KW - Computational modeling

KW - Brain models

KW - Intelligent systems

U2 - 10.1109/MSMC.2018.2889502

DO - 10.1109/MSMC.2018.2889502

M3 - Journal Article (refereed)

SN - 2380-1298

VL - 6

SP - 6

EP - 13

JO - IEEE Systems, Man and Cybernetics Magazine

JF - IEEE Systems, Man and Cybernetics Magazine

IS - 1

ER -

Brain-Inspired Systems : A Transdisciplinary Exploration on Cognitive Cybernetics, Humanity, and Systems Science Toward Autonomous Artificial Intelligence

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Keywords

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