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Intelligent Systems and Soft Computing pp 41–71Cite as

Bringing AI and Soft Computing Together: A Neurobiological Perspective

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1804))

Abstract

The problem of reconciling what appear as two completely different computing styles, those of AI and of soft computing, is considered in terms of modern brain research. After a brief but general discussion of soft computing relevant to analyse the brain, an introduction is given to neural networks as a modelling framework with which to approach brain processing. The nature of the two streams of visual processing is then discussed, leading to the problem of how object perception can arise in the brain. A framework is developed to answer that problem, which extends what is termed feature integration theory by introducing the central representation, which includes body information necessary for intention to be achieved. This, along with considerations of brain deficits, leads to a model of the development of an object percept. How this can help reconcile the two different styles of computing is considered in the penultimate section. The paper finishes with a brief summary and conclusions.

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Author information

Authors and Affiliations

  1. Department of Mathematics, King’s College, London, WC2R 2LS, UK

    John G. Taylor

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  1. John G. Taylor
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Editors and Affiliations

  1. BTexac - BT Advanced Communication Technology Centre Adastral Park, Martlesham, IP5 3RE, Ipswich, UK

    Benham Azvine

  2. Intelligent Systems Research Centre, BT Group plc, Adastral Park, IP5 3RE, Ipswich, United Kingdom

    Detlef D. Nauck

  3.  ,  

    Nader Azarmi

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© 2000 Springer-Verlag Berlin Heidelberg

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Taylor, J.G. (2000). Bringing AI and Soft Computing Together: A Neurobiological Perspective. In: Azvine, B., Nauck, D.D., Azarmi, N. (eds) Intelligent Systems and Soft Computing. Lecture Notes in Computer Science(), vol 1804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720181_2

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  • DOI: https://doi.org/10.1007/10720181_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67837-3

  • Online ISBN: 978-3-540-44917-1

  • eBook Packages: Springer Book Archive

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