Evolvable Systems: From Biology to Hardware: 6th International Conference, ICES 2005, Sitges, Spain, September 12-14, 2005. Proceedings

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The flying machines proposed by Leonardo da Vinci in the fifteenth century, the se- reproducing automata theory proposed by John von Neumann in the middle of the twentieth century and the current possibility of designing electronic and mechanical systems using evolutionary principles are all examples of the efforts made by humans to explore the mechanisms present in biological systems that permit them to tackle complex tasks. These initiatives have recently given rise to the emergent field of b- inspired systems and evolvable hardware. The inaugural workshop, Towards Evolvable Hardware, took place in Lausanne in October 1995, followed by the successive events of the International Conference on Evolvable Systems: From Biology to Hardware, held in Tsukuba (Japan) in October 1996, in Lausanne (Switzerland) in September 1998, in Edinburgh (UK) in April 2000, in Tokyo (Japan) in October 2001, and in Trondheim (Norway) in March 2003. Following the success of these past events the sixth international conference was aimed at presenting the latest developments in the field, bringing together researchers who use biologically inspired concepts to implement real systems in artificial intelligence, artificial life, robotics, VLSI design, and related domains. The sixth conference consolidated this biennial event as a reference meeting for the community involved in bio-inspired systems research. All the papers received were reviewed by at least three independent reviewers, thus guaranteeing a high-quality bundle for ICES 2005.

Author(s): Wenjian Luo, Xin Wang, Ying Tan, Yiguo Zhang, Xufa Wang (auth.), J. Manuel Moreno, Jordi Madrenas, Jordi Cosp (eds.)
Series: Lecture Notes in Computer Science 3637 : Theoretical Computer Science and General Issues
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2005

Language: English
Pages: 227
Tags: Computation by Abstract Devices; Logic Design; Artificial Intelligence (incl. Robotics); Simulation and Modeling; Computer-Aided Engineering (CAD, CAE) and Design; Bioinformatics

Front Matter....Pages -
An Adaptive Self-tolerant Algorithm for Hardware Immune System....Pages 1-11
Consensus-Based Evaluation for Fault Isolation and On-line Evolutionary Regeneration....Pages 12-24
Hardware Fault-Tolerance Within the POEtic System....Pages 25-36
Evolvable Hardware System at Extreme Low Temperatures....Pages 37-45
Intrinsic Evolution of Sorting Networks: A Novel Complete Hardware Implementation for FPGAs....Pages 46-55
Evolving Hardware by Dynamically Reconfiguring Xilinx FPGAs....Pages 56-65
A Flexible On-Chip Evolution System Implemented on a Xilinx Virtex-II Pro Device....Pages 66-75
An Evolvable Image Filter: Experimental Evaluation of a Complete Hardware Implementation in FPGA....Pages 76-85
Operational Amplifiers: An Example for Multi-objective Optimization on an Analog Evolvable Hardware Platform....Pages 86-97
Intrinsic Evolution of Controllable Oscillators in FPTA-2....Pages 98-107
The Role of Non-linearity for Evolved Multifunctional Robot Behavior....Pages 108-118
An On-the-fly Evolutionary Algorithm for Robot Motion Planning....Pages 119-130
Improving the Evolvability of Digital Multipliers Using Embedded Cartesian Genetic Programming and Product Reduction....Pages 131-142
Benefits of Employing an Implicit Context Representation on Hardware Geometry of CGP....Pages 143-154
Evolution In Materio: Investigating the Stability of Robot Controllers Evolved in Liquid Crystal....Pages 155-164
Hardware Implementation of 3D Self-replication....Pages 165-176
POEtic: A Prototyping Platform for Bio-inspired Hardware....Pages 177-187
Implementation of Biologically Plausible Spiking Neural Networks Models on the POEtic Tissue....Pages 188-197
Adaptive Waveform Control in a Data Transceiver for Multi-speed IEEE1394 and USB Communication....Pages 198-204
Evolution, Re-evolution, and Prototype of an X-Band Antenna for NASA’s Space Technology 5 Mission....Pages 205-214
Hardware Platforms for MEMS Gyroscope Tuning Based on Evolutionary Computation Using Open-Loop and Closed-Loop Frequency Response....Pages 215-226
Back Matter....Pages -