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Abstract Intelligence: Embodying and Enabling Cognitive Systems by Mathematical Engineering

Author

Listed:
  • Yingxu Wang

    (International Institute of Cognitive Informatics and Cognitive Computing (ICIC), University of Calgary, Calgary, Canada)

  • Lotfi A. Zadeh

    (UC Berkeley, Berkeley, CA, USA)

  • Bernard Widrow

    (Stanford University, Stanford, CA, USA)

  • Newton Howard

    (University of Oxford, Oxford, UK)

  • Françoise Beaufays

    (Google, Mountain View, CA, USA)

  • George Baciu

    (GAMA Lab, Department of Computing, Hong Kong Polytechnic University, Hung Hom, Hong Kong)

  • D. Frank Hsu

    (Fordham University, New York City, NY, USA)

  • Guiming Luo

    (School of Software, Tsinghua University, Beijing, China)

  • Fumio Mizoguchi

    (Tokyo University of Science, Tokyo, Japan)

  • Shushma Patel

    (Faculty of Business, London South Bank University, London, UK)

  • Victor Raskin

    (LING/CERIAS/CS/CIT, Purdue University, West Lafayette, IN, USA)

  • Shusaku Tsumoto

    (Department of Medical Informatics, Faculty of Medicine, Shimane University, Matsue, Japan)

  • Wei Wei

    (Stanford University, Stanford, CA, USA)

  • Du Zhang

    (Macau University of Science and Technology, Taipa, Macau)

Abstract

Basic studies in denotational mathematics and mathematical engineering have led to the theory of abstract intelligence (aI), which is a set of mathematical models of natural and computational intelligence in cognitive informatics (CI) and cognitive computing (CC). Abstract intelligence triggers the recent breakthroughs in cognitive systems such as cognitive computers, cognitive robots, cognitive neural networks, and cognitive learning. This paper reports a set of position statements presented in the plenary panel (Part II) of IEEE ICCI*CC'16 on Cognitive Informatics and Cognitive Computing 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.

Suggested Citation

  • Yingxu Wang & Lotfi A. Zadeh & Bernard Widrow & Newton Howard & Françoise Beaufays & George Baciu & D. Frank Hsu & Guiming Luo & Fumio Mizoguchi & Shushma Patel & Victor Raskin & Shusaku Tsumoto & Wei, 2017. "Abstract Intelligence: Embodying and Enabling Cognitive Systems by Mathematical Engineering," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 11(1), pages 1-15, January.
    • Handle: RePEc:igg:jcini0:v:11:y:2017:i:1:p:1-15
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    Cited by:

    1. Aswani Kumar Cherukuri & Radhika Shivhare & Ajith Abraham & Jinhai Li & Annapurna Jonnalagadda, 2021. "A Pragmatic Approach to Understand Hebbian Cell Assembly," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 15(2), pages 60-82, April.
    2. Aswani Kumar Cherukuri & Radhika Shivhare & Ajith Abraham & Jinhai Li & Annapurna Jonnalagadda, 2021. "A Pragmatic Approach to Understand Hebbian Cell Assembly," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 15(2), pages 73-95, April.

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