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On Engineering Smart Systems

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3683))

Abstract

A smart system exhibits the four important properties: (i) Interactive, collective, coordinated and efficient Operation (ii) Self -organization and emergence (iii) Power law scaling under emergence (iv) Adaptive. We describe the role of fractal and percolation models for understanding smart systems. A hierarchy based on metric entropy is suggested among the computational systems to differentiate ordinary system from the smart system. Engineering a general purpose smart system is not feasible, since emergence is a global behaviour (or a goal) that evolves from the local behaviour (goals) of components. This is due to the fact that the evolutionary rules for the global goal is non-computable, as it cannot be expressed as a finite composition of computable function of local goals for any arbitrary problem domain.

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Author information

Authors and Affiliations

  1. Computer Sciences Laboratory, Australian National University, Canberra, ACT, 0200, Australia

    E. V. Krishnamurthy

  2. School of Business Information Technology, R.M.I.T University, Melbourne, 3000, Australia

    V. Kris Murthy

Authors
  1. E. V. Krishnamurthy
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  2. V. Kris Murthy
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Krishnamurthy, E.V., Murthy, V.K. (2005). On Engineering Smart Systems. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_72

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  • DOI: https://doi.org/10.1007/11553939_72

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28896-1

  • Online ISBN: 978-3-540-31990-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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