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ISBN: 9783642153228

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 Neum… Mehr…

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Evolvable Systems: From Biology To Hardware: 9th International Conference, Ices 2010, York, Uk, September 6-8, 2010, P - neues Buch

2010, ISBN: 9783642153228

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 Neum… Mehr…

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Evolvable Systems: From Biology To Hardware: 9th International Conference, Ices 2010, York, Uk, September 6-8, 2010, P - neues Buch

2010

ISBN: 9783642153228

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 Neum… Mehr…

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Evolvable Systems: From Biology to Hardware - Taschenbuch

ISBN: 9783642153228

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 Neum… Mehr…

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Gianluca Tempesti; Andy Tyrrell; Julian F. Miller:
Evolvable Systems: From Biology to Hardware - Taschenbuch

2010, ISBN: 9783642153228

9th International Conference, ICES 2010, York, UK, September 6-8, 2010, Proceedings, Buch, Softcover, [PU: Springer Berlin], Springer Berlin, 2010

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Details zum Buch
Evolvable Systems by Gianluca Tempesti Paperback | Indigo Chapters

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.

Detailangaben zum Buch - Evolvable Systems by Gianluca Tempesti Paperback | Indigo Chapters


EAN (ISBN-13): 9783642153228
ISBN (ISBN-10): 3642153224
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Gianluca Tempesti
394 Seiten
Gewicht: 0,611 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-06-28T09:00:03+02:00 (Berlin)
Detailseite zuletzt geändert am 2022-09-23T11:33:56+02:00 (Berlin)
ISBN/EAN: 9783642153228

ISBN - alternative Schreibweisen:
3-642-15322-4, 978-3-642-15322-8


Daten vom Verlag:

Autor/in: Gianluca Tempesti; Andy Tyrrell; Julian F. Miller
Titel: Lecture Notes in Computer Science; Theoretical Computer Science and General Issues; Evolvable Systems: From Biology to Hardware - 9th International Conference, ICES 2010, York, UK, September 6-8, 2010, Proceedings
Verlag: Springer; Springer Berlin
394 Seiten
Erscheinungsjahr: 2010-08-30
Berlin; Heidelberg; DE
Gewicht: 0,615 kg
Sprache: Englisch
85,59 € (DE)
87,99 € (AT)
106,60 CHF (CH)
POD
XII, 394 p. 228 illus.

BC; Book; Hardcover, Softcover / Informatik, EDV/Informatik; Software Engineering; Verstehen; algorithms; automata; design; development; evolution; evolutionary algorithm; fuzzy system; genetic algorithms; hardware; network on chip (NoC); neural networks; optimization; robot; robotics; simulation; C; Software Engineering; Computation by Abstract Devices; Computer Communication Networks; Artificial Intelligence; Logics and Meanings of Programs; Special Purpose and Application-Based Systems; Software Engineering; Theory of Computation; Computer Communication Networks; Artificial Intelligence; Computer Science Logic and Foundations of Programming; Special Purpose and Application-Based Systems; Computer Science; Theoretische Informatik; Netzwerk-Hardware; Künstliche Intelligenz; Theoretische Informatik; Wissensbasierte Systeme, Expertensysteme; EA

Session 1: Evolving Digital Circuits.- Measuring the Performance and Intrinsic Variability of Evolved Circuits.- An Efficient Selection Strategy for Digital Circuit Evolution.- Introducing Flexibility in Digital Circuit Evolution: Exploiting Undefined Values in Binary Truth Tables.- Evolving Digital Circuits Using Complex Building Blocks.- Session 2: Artificial Development.- Fault Tolerance of Embryonic Algorithms in Mobile Networks.- Evolution and Analysis of a Robot Controller Based on a Gene Regulatory Network.- A New Method to Find Developmental Descriptions for Digital Circuits.- Sorting Network Development Using Cellular Automata.- Session 3: GPU Platforms for Bio-inspired Algorithms.- Markerless Articulated Human Body Tracking from Multi-view Video with GPU-PSO.- Evolving Object Detectors with a GPU Accelerated Vision System.- Systemic Computation Using Graphics Processors.- Session 4: Implementations and Applications of Neural Networks.- An Efficient, High-Throughput Adaptive NoC Router for Large Scale Spiking Neural Network Hardware Implementations.- Performance Evaluation and Scaling of a Multiprocessor Architecture Emulating Complex SNN Algorithms.- Evolution of Analog Circuit Models of Ion Channels.- HyperNEAT for Locomotion Control in Modular Robots.- Session 5: Test, Repair and Reconfiguration Using Evolutionary Algorithms.- The Use of Genetic Algorithm to Reduce Power Consumption during Test Application.- Designing Combinational Circuits with an Evolutionary Algorithm Based on the Repair Technique.- Bio-inspired Self-testing Configurable Circuits.- Evolutionary Design of Reconfiguration Strategies to Reduce the Test Application Time.- Session 6: Applications of Evolutionary Algorithms in Hardware.- Extrinsic Evolution of Fuzzy Systems Applied to Disease Diagnosis.- Automatic Code Generation on a MOVE Processor Using Cartesian Genetic Programming.- Coping with Resource Fluctuations: The Run-time Reconfigurable Functional Unit Row Classifier Architecture.- Session 7: Reconfigurable Hardware Platforms.- A Self-reconfigurable FPGA-Based Platform for Prototyping Future Pervasive Systems.- The X2 Modular Evolutionary Robotics Platform.- Ubichip, Ubidule, and MarXbot: A Hardware Platform for the Simulation of Complex Systems.- Implementation of a Power-Aware Dynamic Fault Tolerant Mechanism on the Ubichip Platform.- Session 8: Applications of Evolution to Technology.- Automatic Synthesis of Lossless Matching Networks.- A Novel Approach to Multi-level Evolutionary Design Optimization of a MEMS Device.- From Binary to Continuous Gates – and Back Again.- Adaptive vs. Self-adaptive Parameters for Evolving Quantum Circuits.- Session 9: Novel Methods in Evolutionary Design.- Imitation Programming.- EvoFab: A Fully Embodied Evolutionary Fabricator.- Evolving Physical Self-assembling Systems in Two-Dimensions.

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