Evolvable Systems: From Biology to Hardware: 9th International Conference, ICES 2010, York, UK, September 6-8, 2010, Proceedings (Lecture Notes in Computer Science, 6274)

Biology has inspired electronics from the very beginning: the machines that we now call computers are deeply rooted in biological metaphors. Pioneers such as Alan Turing and John von Neumann openly declared their aim of creating arti?cial machines that could mimic some of the behaviors exhibited by natural organisms. Unfortunately, technology had not progressed enough to allow them to put their ideas into practice. The 1990s saw the introduction of programmable devices, both digital (FP- GAs) and analogue (FPAAs). These devices, by allowing the functionality and the structure of electronic devices to be easily altered, enabled researchers to endow circuits with some of the same versatility exhibited by biological entities and sparked a renaissance in the ?eld of bio-inspired electronics with the birth of what is generally known as evolvable hardware. Eversince,the?eldhasprogressedalongwiththetechnologicalimprovements and has expanded to take into account many di?erent biological processes, from evolution to learning, from development to healing. Of course, the application of these processes to electronic devices is not always straightforward (to say the least!), but rather than being discouraged, researchers in the community have shown remarkable ingenuity, as demostrated by the variety of approaches presented at this conference and included in these proceedings. Front Matter....Pages - Measuring the Performance and Intrinsic Variability of Evolved Circuits....Pages 1-12 An Efficient Selection Strategy for Digital Circuit Evolution....Pages 13-24 Introducing Flexibility in Digital Circuit Evolution: Exploiting Undefined Values in Binary Truth Tables....Pages 25-36 Evolving Digital Circuits Using Complex Building Blocks....Pages 37-48 Fault Tolerance of Embryonic Algorithms in Mobile Networks....Pages 49-60 Evolution and Analysis of a Robot Controller Based on a Gene Regulatory Network....Pages 61-72 A New Method to Find Developmental Descriptions for Digital Circuits....Pages 73-84 Sorting Network Development Using Cellular Automata....Pages 85-96 Markerless Articulated Human Body Tracking from Multi-view Video with GPU-PSO....Pages 97-108 Evolving Object Detectors with a GPU Accelerated Vision System....Pages 109-120 Systemic Computation Using Graphics Processors....Pages 121-132 An Efficient, High-Throughput Adaptive NoC Router for Large Scale Spiking Neural Network Hardware Implementations....Pages 133-144 Performance Evaluation and Scaling of a Multiprocessor Architecture Emulating Complex SNN Algorithms....Pages 145-156 Evolution of Analog Circuit Models of Ion Channels....Pages 157-168 HyperNEAT for Locomotion Control in Modular Robots....Pages 169-180 The Use of Genetic Algorithm to Reduce Power Consumption during Test Application....Pages 181-192 Designing Combinational Circuits with an Evolutionary Algorithm Based on the Repair Technique....Pages 193-201 Bio-inspired Self-testing Configurable Circuits....Pages 202-213 Evolutionary Design of Reconfiguration Strategies to Reduce the Test Application Time....Pages 214-225 Extrinsic Evolution of Fuzzy Systems Applied to Disease Diagnosis....Pages 226-237 Automatic Code Generation on a MOVE Processor Using Cartesian Genetic Programming....Pages 238-249 Coping with Resource Fluctuations: The Run-time Reconfigurable Functional Unit Row Classifier Architecture....Pages 250-261 A Self-reconfigurable FPGA-Based Platform for Prototyping Future Pervasive Systems....Pages 262-273 The X2 Modular Evolutionary Robotics Platform....Pages 274-285 Ubichip, Ubidule, and MarXbot: A Hardware Platform for the Simulation of Complex Systems....Pages 286-298 Implementation of a Power-Aware Dynamic Fault Tolerant Mechanism on the Ubichip Platform....Pages 299-309 Automatic Synthesis of Lossless Matching Networks....Pages 310-321 A Novel Approach to Multi-level Evolutionary Design Optimization of a MEMS Device....Pages 322-334 From Binary to Continuous Gates – and Back Again....Pages 335-347 Adaptive vs. Self-adaptive Parameters for Evolving Quantum Circuits....Pages 348-359 Imitation Programming....Pages 360-371 EvoFab: A Fully Embodied Evolutionary Fabricator....Pages 372-380 Evolving Physical Self-assembling Systems in Two-Dimensions....Pages 381-392 Back Matter....Pages - Annotation This book constitutes the refereed proceedings of the 9th International Conference on Evolvable Systems, ICES 2010, held in York, UK, in September 2010. The papers are organized in topical sections on evolving digital circuits; artificial development; GPU platforms for bio-inspired algorithms; implementations and applications of neural networks; test, repair and reconfiguration using evolutionary algorithms; applications of evolutionary algorithms in hardware; reconfigurable hardware platforms; applications of evolution to technology; and novel methods in evolutionary design