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Bio-Inspired Models of Networks, Information, and Computing Systems 6th International ICST Conference, BIONETICS 2011, York, UK, December 5-6, 2011, Revised Selected Papers by Emma Hart

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Published by Springer Berlin Heidelberg, Imprint: Springer in Berlin, Heidelberg .
Written in English

Subjects:

  • Information Systems Applications (incl. Internet),
  • Artificial Intelligence (incl. Robotics),
  • Computer networks,
  • Artificial intelligence,
  • Computer science,
  • Algorithm Analysis and Problem Complexity,
  • Computer software

Book details:

Edition Notes

Statementedited by Emma Hart, Jon Timmis, Paul Mitchell, Takadash Nakamo, Foad Dabiri
SeriesLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering -- 103
ContributionsTimmis, Jonathan, 1970-, Mitchell, Paul, Nakamo, Takadash, Dabiri, Foad, SpringerLink (Online service)
Classifications
LC ClassificationsTK5105.5-5105.9
The Physical Object
Format[electronic resource] :
ID Numbers
Open LibraryOL27021301M
ISBN 109783642327117

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This book constitutes the thoroughly refereed post-conference proceedings of the 5th International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems (BIONETICS ) which was held in Boston, USA, in December . This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (Bionetics). The event took place in the city of York, UK, in December Bionetics main objective is to bring. This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (Bionetics). The event took place in the city of York, UK, in December Bio-inspired techniques are based on principles, or models, of biological systems. In general, natural systems present remarkable capabilities of resilience and adaptability. In this book, we explore how bio-inspired methods can solve different problems linked to computer networks.

Bio-Inspired Models of Network, Information, and Computing Systems by Junichi Suzuki, Tadashi Nakano, , Springer edition, paperback Bio-Inspired Models of Network, Information, and Computing Systems ( edition) | Open Library. Download Bioinspired Models Of Network Information And Computing Systems full book in PDF, EPUB, and Mobi Format, get it for read on your Kindle device, PC, phones or tablets. Bioinspired Models Of Network Information And Computing Systems full free pdf books. Inspired by these characteristics, many researchers are currently engaged in developing innovative design paradigms to address the networking challenges of existing and envisioned information systems. In this paper, the current state-of-the-art in bio-inspired networking is captured. The existing bio-inspired networking and communication protocols and algorithms devised by looking at biology as a source of inspiration, and by mimicking the laws and dynamics governing these systems . Bio-inspired computing is a research method aimed at solving problems using computer models based on the principles of biology and the natural world. Commonly seen as a philosophical approach, bio-inspired computing is used in a number of related fields of study within computing, rather than a .

Get this from a library! Bio-inspired models of network, information and computing systems, , 1st. Bio-inspired computing (BIC) focuses on the designs and developments of computer algorithms and models based on biological mechanisms and living phenomena. It is now a major subfield of natural computation that leverages on the recent advances in computer science, biology and mathematics.   A. Forestiero, C. Mastroianni, G. Spezzano, Antares: an ant-inspired P2P information system for a self-structured grid, in: 2nd IEEE/ACM International Conference on Bio-Inspired Models of Network, Information and Computing Systems (IEEE/ACM . Get this from a library! 2nd Bio-Inspired Models of Network, Information and Computing Systems.