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

Yingxu Wang, Bernard Widrow, Lotfi A. Zadeh, Newton Howard, Sally Wood, Virendrakumar C. Bhavsar, Gerhard Budin, Christine Chan, Rodolfo A. Fiorini, Marina L. Gavrilova, Duane F. Shell

Source Title: International Journal of Cognitive Informatics and Natural Intelligence (IJCINI)10(4)

ISSN: 1557-3958|EISSN: 1557-3966|EISBN13: 9781466689671|DOI: 10.4018/IJCINI.2016100101

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MLA

Wang, Yingxu, et al. "Cognitive Intelligence: Deep Learning, Thinking, and Reasoning by Brain-Inspired Systems." IJCINI vol.10, no.4 2016: pp.1-20. http://doi.org/10.4018/IJCINI.2016100101

APA

Wang, Y., Widrow, B., Zadeh, L. A., Howard, N., Wood, S., Bhavsar, V. C., Budin, G., Chan, C., Fiorini, R. A., Gavrilova, M. L., & Shell, D. F. (2016). Cognitive Intelligence: Deep Learning, Thinking, and Reasoning by Brain-Inspired Systems. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 10(4), 1-20. http://doi.org/10.4018/IJCINI.2016100101

Chicago

Wang, Yingxu, et al. "Cognitive Intelligence: Deep Learning, Thinking, and Reasoning by Brain-Inspired Systems," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) 10, no.4: 1-20. http://doi.org/10.4018/IJCINI.2016100101

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

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