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Biologically Inspired Approaches to Advanced Information Technology

First International Workshop, BioADIT 2004, Lausanne, Switzerland, January 29-30, 2004, Revised Selected Papers

  • Auke Jan Ijspeert
  • Masayuki Murata
  • Naoki Wakamiya
Conference proceedings BioADIT 2004

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3141)

Table of contents

  1. Front Matter
  2. Biosystems for IT Evolution

    1. Hiroshi Shimizu, Takashi Hirasawa, Keisuke Nagahisa, Suteaki Shioya
      Pages 13-27
    2. Akiko Kashiwagi, Wataru Noumachi, Masato Katsuno, Mohammad T. Alam, Itaru Urabe, Tetsuya Yomo
      Pages 28-39
    3. Norbert M. Mayer, Matthew Browne
      Pages 40-48
    4. Christopher Johansson, Anders Lansner
      Pages 63-79
  3. Bio-inspired Software Systems

    1. Yoshiharu Yoshimoto, Yuichi Itoh, Yoshifumi Kitamura, Fumio Kishino
      Pages 111-126
    2. Alex Graves, Douglas Eck, Nicole Beringer, Juergen Schmidhuber
      Pages 127-136
    3. Ehud Sharlin, Yuichi Itoh, Benjamin Watson, Yoshifumi Kitamura, Steve Sutphen, Lili Liu et al.
      Pages 137-152
    4. Hyungjoon Lee, Wonil Kim, Manpyo Hong
      Pages 153-165
    5. Yingwei Yu, Takashi Yamauchi, Yoonsuck Choe
      Pages 166-175
  4. Hardware Systems

    1. Daniel Ben Dayan Rubin, Elisabetta Chicca, Giacomo Indiveri
      Pages 189-200
    2. Daniel Mange, André Stauffer, Enrico Petraglio, Gianluca Tempesti
      Pages 201-216
    3. Enrico Petraglio, Daniel Mange, André Stauffer, Gianluca Tempesti
      Pages 217-232
    4. Andrés Upegui, Carlos Andrés Peña-Reyes, Eduardo Sánchez
      Pages 233-243
  5. Robotics

    1. Prashant Joshi, Wolfgang Maass
      Pages 258-273
    2. Thomas H. Labella, Marco Dorigo, Jean-Louis Deneubourg
      Pages 274-289
    3. Andrew Vardy, Franz Oppacher
      Pages 290-305
  6. Bio-inspired Distributed/Parallel Processing

    1. Tatsuhiro Tsuchiya, Tohru Kikuno
      Pages 306-316
    2. Frédéric Gruau, Gabriel Moszkowski
      Pages 317-332
    3. Taisuke Izumi, Toshimitsu Masuzawa
      Pages 350-363
  7. Bio-inspired Networking

    1. Elizabeth Dicke, Andrew Byde, Dave Cliff, Paul Layzell
      Pages 364-379
    2. Masahiro Sasabe, Naoki Wakamiya, Masayuki Murata, Hideo Miyahara
      Pages 380-395
    3. Jean-Yves Le Boudec, Slaviša Sarafijanović
      Pages 396-411
    4. Naoki Wakamiya, Masayuki Murata
      Pages 412-427
  8. Image Processing

    1. Sang-Bok Choi, Sang-Woo Ban, Minho Lee, Jang-Kyoo Shin, Dae-Wha Seo, Hyun-Seung Yang
      Pages 456-471
  9. Other Topics

    1. Satoshi Kurihara, Kensuke Fukuda, Toshio Hirotsu, Osamu Akashi, Shinya Sato, Toshiharu Sugawara
      Pages 484-495
  10. Back Matter

About these proceedings

Introduction

The evolution of the Internet has led us to the new era of the information infrastructure. As the information systems operating on the Internet are getting larger and more complicated, it is clear that the traditional approaches based on centralized mechanisms are no longer meaningful. One typical example can be found in the recent growing interest in a P2P (peer-to-peer) computing paradigm. It is quite different from the Web-based client-server systems, which adopt essentially centralized management mechanisms. The P2P computing environment has the potential to overcome bottlenecks in Web computing paradigm, but it introduces another difficulty, a scalability problem in terms of information found, if we use a brute-force flooding mechanism. As such, conventional information systems have been designed in a centralized fashion. As the Internet is deployed on a world scale, however, the information systems have been growing, and it becomes more and more difficult to ensure fau- free operation. This has long been a fundamental research topic in the field. A complex information system is becoming more than we can manage. For these reasons, there has recently been a significant increase in interest in biologically inspired approaches to designing future information systems that can be managed efficiently and correctly.

Keywords

Bayesian network algorithmic learning algorithms ant algorithms artificial immune sys biocomputing bioinspired computing biologically motivated computing image processing information system intelligence natural computing robotics self-organization speech recognition

Editors and affiliations

  • Auke Jan Ijspeert
    • 1
  • Masayuki Murata
    • 2
  • Naoki Wakamiya
    • 2
  1. 1.Biologically Inspired Robotic Group (BIRG)Ecole Polytechnique Fédérale de Lausanne (EPFL), Station 14LausanneSwitzerland
  2. 2.Graduate School of Information Science and TechnologyOsaka UniversitySuita, OsakaJapan

Bibliographic information

  • DOI https://doi.org/10.1007/b101281
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-23339-8
  • Online ISBN 978-3-540-27835-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site