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Evolvable Systems: From Biology to Hardware

First International Conference, ICES '96, Tsukuba, Japan, October 7 - 8, 1996, Revised Papers

  • Conference proceedings
  • © 1997

Overview

Editors:
  1. Tetsuya Higuchi
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  2. Masaya Iwata
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  3. Weixin Liu
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1259)

Included in the following conference series:

Conference proceedings info: ICES 1996.

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Table of contents (33 papers)

  1. Front Matter

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  2. Iconic learning in networks of logical neurons

    • Igor Aleksander
    Pages 1-16

  3. Hardware requirements for fast evaluation of functions learned by Adaptive Logic Networks

    • William W. Armstrong
    Pages 17-22

  4. FPGA as a key component for reconfigurable system

    • Shinichi Shiratsuchi
    Pages 23-32

  5. Phylogeny, ontogeny, and epigenesis: Three sources of biological inspiration for softening hardware

    • Eduardo Sanchez, Daniel Mange, Moshe Sipper, Marco Tomassini, Andres Perez-Uribe, André Stauffer
    Pages 33-54

  6. Promises and challenges of Evolvable hardware

    • Xin Yao, Tetsuya Higuchi
    Pages 55-78

  7. Designing evolware by cellular programming

    • Moshe Sipper
    Pages 79-95

  8. Online autonomous evolware

    • Maxime Goeke, Moshe Sipper, Daniel Mange, Andre Stauffer, Eduardo Sanchez, Marco Tomassini
    Pages 96-106

  9. Speeding-up digital ecologies evolution using a hardware emulator: Preliminary results

    • Pierre Marchal, Pascal Nussbaum, Christian Piguet, Moshe Sipper
    Pages 107-124

  10. Challenges of evolvable systems: Analysis and future directions

    • Hiroaki Kitano
    Pages 125-135

  11. Functional organisms growing on silicon

    • Pascal Nussbaum, Pierre Marchal, Christian Piguet
    Pages 137-151

  12. Logical universality and self-reproduction in reversible cellular automata

    • Kenichi Morita, Katsunobu Imai
    Pages 152-166

  13. Data compression based on Evolvable hardware

    • Mehrdad Salami, Masahiro Murakawa, Tetsuya Higuchi
    Pages 167-179

  14. ATM cell scheduling by function level evolvable hardware

    • Weixin Liu, Masahiro Murakawa, Tetsuya Higuchi
    Pages 180-192

  15. An evolutionary robot navigation system using a gate-level evolvable hardware

    • Didier Keymeulen, Marc Durantez, Kenji Konaka, Yasuo Kuniyoshi, Tetsuya Higuchi
    Pages 193-209

  16. Genetic evolution of a logic circuit which controls an autonomous mobile robot

    • Taku Naito, Ryoichi Odagiri, Yutaka Matsunaga, Manabu Tanifuji, Kazuyuki Murase
    Pages 210-219

  17. Autonomous robot with evolving algorithm based on biological systems

    • Jun Yamamoto, Yuichiro Anzai
    Pages 220-233

  18. Memory-based neural network and its application to a mobile robot with evolutionary and experience learning

    • Hidetaka Ito, Tatsumi Furuya
    Pages 234-246

  19. Multiple genetic algorithm processor for hardware optimization

    • Mehrdad Salami
    Pages 247-259

  20. NGEN: A massively parallel reconfigurable computer for biological simulation: Towards a self-organizing computer

    • John S. McCaskill, Thomas Maeke, Udo Gemm, Ludger Schulte, Uwe Tangen
    Pages 260-276
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  1. Evolvable Systems: From Biology to Hardware

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About this book

This book constitutes the strictly refereed post-conference proceedings recording the scientific progress achieved at the First International Conference on Evolvable Systems: From Biology to Hardware, ICES'96, held in Tsukuba, Japan, in October 1996.
The volume presents 33 revised full papers including several invited contributions surveying the state of the art in this emerging area of research and development. The volume is divided into topical sections on evolware, cellular systems, engineering applications of evolvable hardware systems, evolutionary robotics, innovative architectures, evolvable systems, evolvable hardware, and genetic programming.

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