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 and
Duane F. Shell
Additional contact information
Yingxu Wang: International Institute of Cognitive Informatics and Cognitive Computing (ICIC),Laboratory for Computational Intelligence, Denotational Mathematics, and Software Science, Department of Electrical and Computer Engineering, Schulich School of Engineering and Hotchkiss Brain Institute, University of Calgary, Calgary, Canada & Information Systems Lab, Stanford University, Stanford, CA, USA
Bernard Widrow: Stanford University, Stanford, CA, USA
Lotfi A. Zadeh: UC Berkeley, Berkeley, CA, USA
Newton Howard: University of Oxford, Oxford, UK
Sally Wood: Santa Clara University, Santa Carla, CA, USA
Virendrakumar C. Bhavsar: University of New Brunswick, Fredericton, Canada
Gerhard Budin: Center for Translation Studies, Vienna University, Vienna, Austria
Christine Chan: University of Regina, Regina, Canada
Rodolfo A. Fiorini: Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano University, Milano, Italy
Marina L. Gavrilova: Department of Computer Science, University of Calgary, Calgary, Canada
Duane F. Shell: Department of Educational Psychology, University of Nebraska-Lincoln, Lincoln, NE, USA
International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2016, vol. 10, issue 4, 1-20
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.
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jcini0:v:10:y:2016:i:4:p:1-20
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