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Title
Abstract
Introduction
Data Correlation vs. Information Diversity
Big Data Needs Cognitive Computing
References
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Computer Science
Artificial Intelligence

Abstract Intelligence

Profile image of F. BeaufaysF. Beaufays

2017, International Journal of Cognitive Informatics and Natural Intelligence

https://doi.org/10.4018/IJCINI.2017010101
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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). 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.

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  104. Yingxu Wang is professor of cognitive informatics, brain science, software science, & denotational mathematics, President of Int'l Inst. of Cognitive Informatics & Computing (ICIC). He is a Fellow of ICIC & WIF, & a Sen. Member of IEEE & ACM. He was visiting professor at Oxford Univ., Stanford Univ., UC Berkeley, & MIT. He received a PhD from the Nottingham Trent Univ. in 1998 & has been a full professor since 1994. He is the founding steering commit. chair of IEEE Int'l Confs. on ICCI*CC since 2002. He is founding EICs of Int. Journals of Cognitive Informatics & Natural Intelligence, Software Science & Computational Intelligence, Advanced Mathematics & Applications, and Asso. Editor of IEEE Trans. on SMC-Systems. He is initiator of a few cutting-edge research fields such as cognitive informatics, denotational mathematics, abstract intelligence (αI), mathematical models of the brain, and cognitive computing. He has published 400+ peer reviewed papers, 29 books, and presented 28 invited keynote speeches. He has served as general/program chairs for more than 20 int'l conferences. He is the most popular scholar of top publications at Univ. of Calgary according to RG worldwide stats.

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Cognitive Informatics (CI) is a contemporary multidisciplinary field spanning across computer science, information science, cognitive science, brain science, intelligence science, knowledge science, cognitive linguistics, and cognitive philosophy. Cognitive Computing (CC) is a novel paradigm of intelligent computing methodologies and systems based on CI that implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. This paper reports a set of position statements presented in the plenary panel of IEEE ICCI*CC'14 on Cognitive Informatics and Cognitive Computing. The summary is contributed by invited panelists who are part of the world's renowned researchers and scholars in the transdisciplinary field of cognitive informatics and cognitive computing.

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Perspectives on Cognitive Computers and Knowledge Processors
Shushma Patel

International Journal of Cognitive Informatics and Natural Intelligence, 2000

Cognitive Informatics (CI) is a contemporary multidisciplinary field spanning across computer science, information science, cognitive science, brain science, intelligence science, knowledge science, cognitive linguistics, and cognitive philosophy. CI aims to investigate the internal information processing mechanisms and processes of the brain, the underlying abstract intelligence theories and denotational mathematics, and their engineering applications in cognitive computing and computational intelligence. This paper reports a set of eleven position statements presented in the plenary panel of IEEE ICCI*CC'13 on Cognitive Computers and Knowledge Processors contributed from invited panelists who are part of the world's renowned researchers and scholars in the field of cognitive informatics and cognitive computing.

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Cognitive Informatics and Computational Intelligence: Theory and Applications Preface
Newton Howard

Cognitive Informatics (CI) is a contemporary multidisciplinary field spanning across computer science, information science, cognitive science, brain science, intelligence science, knowledge science, cognitive linguistics, and cognitive philosophy. Cognitive Computing (CC) is a novel paradigm of intelligent computing methodologies and systems based on CI that implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. This paper reports a set of position statements presented in the plenary panel of IEEE ICCI*CC'14 on Cognitive Informatics and Cognitive Computing. The summary is contributed by invited panelists who are part of the world's renowned researchers and scholars in the transdisciplinary field of cognitive informatics and cognitive computing.

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Toward Cognitive Informatics and Cognitive Computers: A Report on IEEE ICCI’06
Witold Kinsner

2008

Cognitive informatics (CI) is a cutting-edge and multidisciplinary research area that tackles the fundamental problems shared by modern informatics, computation, software engineering, AI, cybernetics, cognitive science, neuro-psychology, medical science, systems science, philosophy, linguistics, economics, management science, and life sciences [Wang, 2002]. CI can be viewed as a trans-disciplinary enquiry of cognitive and information sciences that investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, and their engineering applications [Wang, 2003, 2007a; Wang and Kinsner, 2006]. It is a trans-disciplinary study of the internal information processing mechanisms and processes of the natural intelligence-human brains and minds-and their engineering applications.

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Perspectives on cognitive informatics and cognitive computing: Summary of the panel of ieee iccf09
Gong Wang, Haibin Zhu, Chu-Ren Huang

2009

The contemporary wonder of sciences and engineering has recently refocused on the beginning point of: how the brain processes internal and external information autonomously and cognitively rather than imperatively like conventional computers. Cognitive Informatics (CI) is a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science that investigates the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. This paper reports a set of eight position statements presented in the plenary panel of IEEE ICCI'10 on Cognitive Informatics and Its Future Development contributed from invited panelists who are part of the world's renowned researchers and scholars in the field of cognitive informatics and cognitive computing.

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Related topics

  • Cognitive Science
  • Computer Science
  • Artificial Intelligence
  • Informatics
  • Cognitive Robotics
  • Cognitive Engineering
  • Cognitive Computing
  • Cognitive Informatics
  • Cognitive systems
  • Mathematical Engineering
  • Denotational Mathematics

    • Cited by

    The Cognitive Machine as Mental Language Automata
    Carlo Emmanoel Tolla de Oliveira

    International Journal of Cognitive Informatics and Natural Intelligence, 2018

    This article describes how learning is a native ability of the brain. However, very little is known of the process as it happens. The engineering model presented in this work provides a base to explore the innards of cognition. The computational implementation of the model is usable to assess cognitive profiles by means of machine learning and harmonic filtering. The model relies on an evolutionary dimensional space consisting of phylogenetic, ontogenetic and microgenetic timelines. The microgenetic space reveals the state machine nature of cognition, standing as an internal translator to a brain specific language. The study of this machine and its language is the key to understanding cognition.

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    Cognitive Computing
    Newton Howard

    International Journal of Software Science and Computational Intelligence, 2018

    Cognitive Computing (CC) is a contemporary field of studies on intelligent computing methodologies and brain-inspired mechanisms of cognitive systems, cognitive machine learning and cognitive robotics. The IEEE conference ICCI*CC'17 on Cognitive Informatics and Cognitive Computing was focused on the theme of neurocomputation, cognitive machine learning and brain-inspired systems. This article reports the plenary panel (Part II) in IEEE ICCI*CC'17 at Oxford University. The summary is contributed by distinguished panelists who are part of the world's renowned scholars in the transdisciplinary field of cognitive computing.

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    The odyssey to next-generation computers: cognitive computers (κC) inspired by the brain and powered by intelligent mathematics
    Imre Rudas

    Frontiers in computer science, 2023

    Cognitive computers (κC) are intelligent processors advanced from data and information processing to autonomous knowledge learning and intelligence generation. This work presents a retrospective and prospective review of the odyssey toward κC empowered by transdisciplinary basic research and engineering advances. A wide range of fundamental theories and innovative technologies for κC is explored, and a set of underpinning intelligent mathematics (IM) is created. The architectures of κC for cognitive computing and Autonomous Intelligence Generation (AIG) are designed as a brain-inspired cognitive engine. Applications of κC in autonomous AI (AAI) are demonstrated by pilot projects. This work reveals that AIG will no longer be a privilege restricted only to humans via the odyssey to κC toward training-free and self-inferencing computers.

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