1. ICES 1996: Tsukuba, Japan
Tetsuya Higuchi, Masaya Iwata, Weixin Liu (Eds.): Evolvable Systems: From Biology to Hardware, First International Conference, ICES 96, Tsukuba, Japan, October 7-8, 1996, Proceedings. Springer 1996 Lecture Notes in Computer Science ISBN 3-540-63173-9
Invited Talks
Igor Aleksander: Iconic Learning in Networks of Logical Neurons. 3-16
William Ward Armstrong: Hardware Requirements for Fast Evaluation of Functions Learned by Adaptive Logic Networks. 17-22
Shinichi Shiratsuchi: FPGA as a Key Component for Reconfigurable System. 23-32
Overview
Eduardo Sanchez, Daniel Mange, Moshe Sipper, Marco Tomassini, Andrés Pérez-Uribe, André Stauffer: Phylogeny, Ontogeny, and Epigenesis: Three Sources of Biological Inspiration for Softening Hardware. 35-54
Evolware
Moshe Sipper: Designing Evolware by Cellular Programming. 81-95
Maxime Goeke, Moshe Sipper, Daniel Mange, André Stauffer, Eduardo Sanchez, Marco Tomassini: Online Autonomous Evolware. 96-106
Pierre Marchal, Pascal Nussbaum, Christian Piguet, Moshe Sipper: Speeding-up Digital Ecologies Evolution Using a Hardware Emulator: Preliminary Results. 107-124
Hiroaki Kitano: Challenges of Evolvable Systems: Analysis and Future Directions. 125-135
Cellular Systems

Kenichi Morita, Katsunobu Imai: Logical Universality and Self-Reproduction in Reversible Cellular Automata. 152-166
Engineering Applications of EHW
Mehrdad Salami, Masahiro Murakawa, Tetsuya Higuchi: Data Compression Based on Evolvable Hardware. 169-179
Weixin Liu, Masahiro Murakawa, Tetsuya Higuchi: ATM Cell Scheduling by Function Level Evolvable Hardware. 180-192
Evolutionary Robotics
Didier Keymeulen, Marc Durantez, Kenji Konaka, Yasuo Kuniyoshi, Tetsuya Higuchi: An Evolutionary Robot Navigation System Using a Gate-Level Evolvable Hardware. 195-209
Taku Naito, Ryoichi Odagiri, Yutaka Matsunaga, Manabu Tanifuji, Kazuyuki Murase: Genetic Evolution of a Logic Circuit which Controls an Autonomous Mobile Robot. 210-219
Jun Yamamoto, Yuichiro Anzai: Autonomous Robot with Evolving Algorithm Based on Biological Systems. 220-233
Hidetaka Ito, Tatsumi Furuya: Memory-Based Neural Network and Its Application to a Mobile Robot with Evolutionary and Experience Learning. 234-246
Innovative Architectures
Mehrdad Salami: Multiple Genetic Algorithm Processor for Hardware Optimization. 249-259
John S. McCaskill, Thomas Maeke, Udo Gemm, Ludger Schulte, Uwe Tangen: NGEN: A Massively Parallel Reconfigurable Computer for Biological Simulation: Towards a Self-Organizing Computer. 260-276
Tadashi Ae, Hikaru Fukumoto, Saku Hiwatashi: Special-Purpose Brainware Architecture for Data Processing. 289-301
Evolvable Systems

John R. Koza, Forrest H. Bennett III, David Andre, Martin A. Keane: Reuse, Parameterized Reuse, and Hierarchical Reuse of Substructures in Evolving Electrical Circuits Using Genetic Programming. 312-326
Hitoshi Iba, Masaya Iwata, Tetsuya Higuchi: Machine Learning Approach to Gate-Level Evolvable Hardware. 327-343
Ricardo Salem Zebulum, Marco Aurélio Cavalcanti Pacheco, Marley B. R. Vellasco: Evolvable Systems in Hardware Design: Taxonomy, Survey and Applications. 344-358
Jan Kazimierczak: From some Tasks to Biology and then to Hardware. 359-376
Evolvable Hardware
Masahiro Murakawa, Shuji Yoshizawa, Tetsuya Higuchi: Adaptive Equalization of Digital Communication Channels Using Evolvable Hardware. 379-389
Adrian Thompson: An Evolved Circuit, Intrinsic in Silicon, Entwined with Physics. 390-405
Inman Harvey, Adrian Thompson: Through the Labyrinth Evolution Finds a Way: A Silicon Ridge. 406-422
Tomofumi Hikage, Hitoshi Hemmi, Katsunori Shimohara: Hardware Evolution System Introducing Dominant and Recessive Heredity. 423-436
Felix A. Gers, Hugo de Garis: CAM-Brain: A New Model for ATR's Cellular Automata Based Artificial Brain Project. 437-452
Genetic Programming
Forrest H. Bennett III, John R. Koza, David Andre, Martin A. Keane: Evolution of a 60 Decibel Op Amp Using Genetic Programming. 455-469
Hidenori Sakanashi, Tetsuya Higuchi, Hitoshi Iba, Yukinori Kakazu: Evolution of Binary Decision Diagrams for Digital Circuit Design Using Genetic Programming. 470-481



