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Advances in Reasoning-Based Image Processing Intelligent Systems pp 383–421Cite as

On Creativity and Intelligence in Computational Systems

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 29))

Abstract

This chapter presents an investigation of the potential for creative and intelligent computing in the domain of machine vision. It addresses such interrelated issues as randomization, dimensionality reduction, incompleteness, heuristics, as well as various representational paradigms. In particular, randomization is shown to underpin creativity, heuristics are shown to serve as the basis for intelligence, and incompleteness implies the need for heuristics in any non trivial machine vision application, among others. Furthermore, the evolution of machine vision is seen to imply the evolution of heuristics. This conclusion follows from the examples supplied herein.

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Author information

Authors and Affiliations

  1. SSC-Pacific, US Navy, 53560 Hull St., San Diego, CA, USA, 92152-5001

    Stuart H. Rubin

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  1. Stuart H. Rubin
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Correspondence to Stuart H. Rubin .

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Editors and Affiliations

  1. Technical University of Sofia, Drujba 2, Sofia, 1582, Bulgaria

    Roumen Kountchev

  2. University of Hyogo, Nakamachi-dori 3-1-3-901, Kobe, 650-0027, Japan

    Kazumi Nakamatsu

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Rubin, S.H. (2012). On Creativity and Intelligence in Computational Systems. In: Kountchev, R., Nakamatsu, K. (eds) Advances in Reasoning-Based Image Processing Intelligent Systems. Intelligent Systems Reference Library, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24693-7_13

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  • DOI: https://doi.org/10.1007/978-3-642-24693-7_13

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24692-0

  • Online ISBN: 978-3-642-24693-7

  • eBook Packages: EngineeringEngineering (R0)

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