Evolvable Systems: From Biology to Hardware

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

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.

• Adaptive Hardware
• Entwicklungsfähige Systeme
• Genetisches Programmieren
• Rekonfigurierbare Systeme
• Zelluläre Systeme
• biology
• cellular systems
• evolution
• evolvable systems
• genetic programming
• programming
• reconfigurable systems
• robot
• robotics

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