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7 results on '"Wang, Yingxu"'

1. Contemporary cybernetics and its facets of cognitive informatics and computational intelligence.

Author

Wang Y, Kinsner W, and Zhang D

Subjects
Brain physiology, Humans, Intelligence physiology, Models, Neurological, Models, Theoretical, Nerve Net physiology, Neural Networks, Computer, Artificial Intelligence, Cybernetics, Informatics
Abstract

This paper explores the architecture, theoretical foundations, and paradigms of contemporary cybernetics from perspectives of cognitive informatics (CI) and computational intelligence. The modern domain and the hierarchical behavioral model of cybernetics are elaborated at the imperative, autonomic, and cognitive layers. The CI facet of cybernetics is presented, which explains how the brain may be mimicked in cybernetics via CI and neural informatics. The computational intelligence facet is described with a generic intelligence model of cybernetics. The compatibility between natural and cybernetic intelligence is analyzed. A coherent framework of contemporary cybernetics is presented toward the development of transdisciplinary theories and applications in cybernetics, CI, and computational intelligence.

Published
2009
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3. Cognitive Informatics and Denotational Mathematical Means for Brain Informatics

Author

Wang, Yingxu, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Yao, Yiyu, editor, Sun, Ron, editor, Poggio, Tomaso, editor, Liu, Jiming, editor, Zhong, Ning, editor, and Huang, Jimmy, editor

Published
2010
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4. A self-organizing deep belief network based on information relevance strategy

Author

Wang Yingxu, Junfei Qiao, Honggui Han, and Guo Min

Subjects
Structure (mathematical logic), 0209 industrial biotechnology, Computer science, Process (engineering), business.industry, Cognitive Neuroscience, 02 engineering and technology, Mutual information, Machine learning, computer.software_genre, Measure (mathematics), Computer Science Applications, Deep belief network, 020901 industrial engineering & automation, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Benchmark (computing), 020201 artificial intelligence & image processing, Relevance (information retrieval), Artificial intelligence, business, computer, Maximal information coefficient
Abstract

One of the major obstacles in using deep belief network (DBN) is the structure design. Numerous studies, both empirically and theoretically, show that choosing suitable structure can improve the performance of DBN. In this paper, a self-organizing DBN (S-DBN), based on the information relevance strategy (IRS), was proposed to design the structure of DBN. For this IRS, the maximal information coefficient was designed to measure the input and output information relevance of hidden neurons. Meanwhile, the mutual information was introduced to measure the information relevance among the hidden layers. Then, a novel self-organizing strategy was developed to grow and prune both the hidden neurons and layers during the training process. Moreover, a contrastive divergence algorithm was used to adjust the parameters of S-DBN. Finally, several benchmark problems were used to illustrate the effectiveness of S-DBN. The experimental results demonstrate that the proposed S-DBN owns better performance for classification problems and modeling nonlinear systems than some existing methods.

Published
2020

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

Author

Wang, Yingxu, Karray, Fakhri, Kwong, Sam, Plataniotis, Konstantinos N., Leung, Henry, Hou, Ming, Tunstel, Edward, Rudas, Imre J., Trajkovic, Ljiljana, Kaynak, Okyay, Kacprzyk, Janusz, Zhou, Mengchu, Smith, Michael H., Chen, Philip, and Patel, Shushma

Subjects
*COGNITIVE computing, *ARTIFICIAL intelligence, *SYSTEMS theory, *COGNITION, *AUTONOMOUS robots
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'. [ABSTRACT FROM AUTHOR]

Published
2021
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6. Barriers to Implementing Computational Intelligence-Based Agriculture System

Author

Shafik, Wasswa, Kacprzyk, Janusz, Series Editor, Dorigo, Marco, Editorial Board Member, Engelbrecht, Andries, Editorial Board Member, Kreinovich, Vladik, Editorial Board Member, Morabito, Francesco Carlo, Editorial Board Member, Slowinski, Roman, Editorial Board Member, Wang, Yingxu, Editorial Board Member, Jin, Yaochu, Editorial Board Member, Sumithra, M. G., editor, Sathyamoorthy, Malathy, editor, Manikandan, M., editor, Dhanaraj, Rajesh Kumar, editor, and Ouaissa, Mariya, editor

Published
2024
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7. Exploiting Internet of Things and AI-Enabled for Real-Time Decision Support in Precision Farming Practices

Author

Slimani, Hicham, El Mhamdi, Jamal, Jilbab, Abdelilah, El Kihel, Badr, Kacprzyk, Janusz, Series Editor, Dorigo, Marco, Editorial Board Member, Engelbrecht, Andries, Editorial Board Member, Kreinovich, Vladik, Editorial Board Member, Morabito, Francesco Carlo, Editorial Board Member, Slowinski, Roman, Editorial Board Member, Wang, Yingxu, Editorial Board Member, Jin, Yaochu, Editorial Board Member, Sumithra, M. G., editor, Sathyamoorthy, Malathy, editor, Manikandan, M., editor, Dhanaraj, Rajesh Kumar, editor, and Ouaissa, Mariya, editor

Published
2024
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