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International Workshop on Engineering Self-Organising Applications

ESOA 2004: Engineering Self-Organising Systems pp 32–51Cite as

Adaptive Information Infrastructures for the e-Society

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3464))

Abstract

Positioned at the confluence between human/machine and hardware/software integration and backed by a solid proof of concept realized through several scenarios encompassing e-Securities, e-Health, and e-Logistics for global manufacturing and emergency response management, this work exploits latest advances in information and networking technologies to set a systematic framework for the design of the information infrastructures (coined as AIIs – Adaptive Information Infrastructures) destined to fuel tomorrow’s e-Society. Designed following the natural laws of evolution, which merge self-organization and natural selection [1], these socially embedded information infrastructures can adapt to fulfill various needs as their environment demands. Computational intelligence techniques endow the AIIs with learning and discovery capabilities, emulating social and biological behavior. AIIs are destined to become an integral part of our life by supporting, rather than disturbing, a framework that facilitates strategic partnerships while providing greater user-friendliness, more efficient services support, user-empowerment, and support for human interactions.

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Author information

Authors and Affiliations

  1. Electrical and Computer Engineering Department, The University of Calgary, 2500 University Dr. NW, Calgary, Alberta, T1N 1N4, Canada

    Mihaela Ulieru

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  1. Mihaela Ulieru
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Editor information

Editors and Affiliations

  1. NewVectors, 3520 Green Court, Suite 250, MI 48105, Ann Arbor, USA

    Sven A. Brueckner

  2. School of Computer Science and Information Systems, Birkbeck College London,  

    Giovanna Di Marzo Serugendo

  3. Department of Computer and Communication Engineering, University of Thessaly, 37 Glavani, 28th October Str., Deligiorgi Building, 4th floor, room D3/4, 382 21, Volos, Greece

    Anthony Karageorgos

  4. Division of Engineering and Applied Sciences, Computer Science Dept., Harvard University, 235 Maxwell Dworkin, 33 Oxford Street, MA 02138, Cambridge, USA

    Radhika Nagpal

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© 2005 Springer-Verlag Berlin Heidelberg

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Ulieru, M. (2005). Adaptive Information Infrastructures for the e-Society. In: Brueckner, S.A., Di Marzo Serugendo, G., Karageorgos, A., Nagpal, R. (eds) Engineering Self-Organising Systems. ESOA 2004. Lecture Notes in Computer Science(), vol 3464. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494676_3

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  • DOI: https://doi.org/10.1007/11494676_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26180-3

  • Online ISBN: 978-3-540-31901-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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