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Brain-, Gene-, and Quantum Inspired Computational Intelligence: Challenges and Opportunities

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Challenges for Computational Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 63))

Summary

This chapter discusses opportunities and challenges for the creation of methods of computational intelligence (CI) and more specifically – artificial neural networks (ANN), inspired by principles at different levels of information processing in the brain: cognitive-, neuronal-, genetic-, and quantum, and mainly, the issues related to the integration of these principles into more powerful and accurate CI methods. It is demonstrated how some of these methods can be applied to model biological processes and to improve our understanding in the subject area, along with other – being generic CI methods applicable to challenging generic AI problems. The chapter first offers a brief presentation of some principles of information processing at different levels of the brain, and then presents brain-inspired, geneinspired and quantum inspired CI. The main contribution of the chapter though is the introduction of methods inspired by the integration of principles from several levels of information processing, namely: (1) a computational neurogenetic model, that combines in one model gene information related to spiking neuronal activities; (2) a general framework of a quantum spiking neural network model; (3) a general framework of a quantum computational neuro-genetic model. Many open questions and challenges are discussed, along with directions for further research.

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Author information

Authors and Affiliations

  1. Knowledge Engineering and Discovery Research Institute, KEDRI Auckland, University of Technology, Auckland, New Zealand

    Nikola Kasabov

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  1. Nikola Kasabov
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Editors and Affiliations

  1. Department of Informatics, Nicolaus Copernicus University, Ul. Grudziadzka 5, 87-100, Torun, Poland

    Włodzisław Duch

  2. Division of Computer Science, School of Computer Engineering, Nanyang Technological University, 639798, Singapore

    Włodzisław Duch

  3. Faculty of Mathematics and Information Sciences, Warsaw University of Technology, Plac Politechniki 1, 00-661, Warsaw, Poland

    Jacek Mańdziuk

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Kasabov, N. (2007). Brain-, Gene-, and Quantum Inspired Computational Intelligence: Challenges and Opportunities. In: Duch, W., Mańdziuk, J. (eds) Challenges for Computational Intelligence. Studies in Computational Intelligence, vol 63. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71984-7_9

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  • DOI: https://doi.org/10.1007/978-3-540-71984-7_9

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  • Print ISBN: 978-3-540-71983-0

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