Cognitive Intelligence: Deep Learning, Thinking, and Reasoning by Brain-Inspired Systems

Cognitive Intelligence: Deep Learning, Thinking, and Reasoning by Brain-Inspired Systems

Yingxu Wang, Bernard Carlos Widrow, Lotfi A. Zadeh, Newton Howard, Sally Wood, Virendrakumar C. Bhavsar, Gerhard Budin, Christine W. Chan, Rodolfo A. Fiorini, Marina L. Gavrilova, Duane F. Shell
ISBN13: 9781799804147|ISBN10: 1799804143|EISBN13: 9781799804154
DOI: 10.4018/978-1-7998-0414-7.ch084
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MLA

Wang, Yingxu, et al. "Cognitive Intelligence: Deep Learning, Thinking, and Reasoning by Brain-Inspired Systems." Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2020, pp. 1500-1523. https://doi.org/10.4018/978-1-7998-0414-7.ch084

APA

Wang, Y., Widrow, B. C., Zadeh, L. A., Howard, N., Wood, S., Bhavsar, V. C., Budin, G., Chan, C. W., Fiorini, R. A., Gavrilova, M. L., & Shell, D. F. (2020). Cognitive Intelligence: Deep Learning, Thinking, and Reasoning by Brain-Inspired Systems. In I. Management Association (Ed.), Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications (pp. 1500-1523). IGI Global. https://doi.org/10.4018/978-1-7998-0414-7.ch084

Chicago

Wang, Yingxu, et al. "Cognitive Intelligence: Deep Learning, Thinking, and Reasoning by Brain-Inspired Systems." In Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1500-1523. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-0414-7.ch084

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Abstract

The theme of IEEE ICCI*CC'16 on Cognitive Informatics (CI) and Cognitive Computing (CC) was on cognitive computers, big data cognition, and machine learning. CI and CC are a contemporary field not only for basic studies on the brain, computational intelligence theories, and denotational mathematics, but also for engineering applications in cognitive systems towards deep learning, deep thinking, and deep reasoning. This paper reports a set of position statements presented in the plenary panel (Part I) in IEEE ICCI*CC'16 at Stanford University. The summary is contributed by invited panelists who are part of the world's renowned scholars in the transdisciplinary field of CI and CC.

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