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E-raamat: Evolvable Systems: From Biology to Hardware: 5th International Conference, ICES 2003, Trondheim, Norway, March 17-20, 2003, Proceedings

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  • Sari: Lecture Notes in Computer Science 2606
  • Ilmumisaeg: 08-Oct-2007
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Keel: eng
  • ISBN-13: 9783540365532
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  • Formaat: PDF+DRM
  • Sari: Lecture Notes in Computer Science 2606
  • Ilmumisaeg: 08-Oct-2007
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Keel: eng
  • ISBN-13: 9783540365532
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The idea of evolving machines, whose origins can be traced to the cybernetics movementofthe1940sand1950s,hasrecentlyresurgedintheformofthenascent ?eld of bio-inspired systems and evolvable hardware. The inaugural workshop, Towards Evolvable Hardware, took place in Lausanne in October 1995, followed by the First International Conference on Evolvable Systems: From Biology to Hardware (ICES), held in Tsukuba, Japan in October 1996. The second ICES conference was held in Lausanne in September 1998, with the third and fourth being held in Edinburgh, April 2000 and Tokyo, October 2001 respectively. This has become the leading conference in the ?eld of evolvable systems and the 2003 conference promised to be at least as good as, if not better than, the four that preceeded it. The ?fth international conference was built on the success of its predec- sors, aiming at presenting the latest developments in the ?eld. In addition, it brought together researchers who use biologically inspired concepts to imp- ment real systems in arti cial intelligence, arti cial life, robotics, VLSI design and related domains. We would say that this ?fth conference followed on from the previous four in that it consisted of a number of high-quality interesting thought-provoking papers.

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Springer Book Archives
Evolution.- On Fireflies, Cellular Systems, and Evolware.- A Comparison
of Different Circuit Representations for Evolutionary Analog Circuit Design.-
Fault Tolerance and Fault Recovery.- Fault Tolerance via Endocrinologic Based
Communication for Multiprocessor Systems.- Using Negative Correlation to
Evolve Fault-Tolerant Circuits.- A Genetic Representation for Evolutionary
Fault Recovery in Virtex FPGAs.- Development.- Biologically Inspired
Evolutionary Development.- Building Knowledge into Developmental Rules for
Circuit Design.- Evolving Fractal Proteins.- A Developmental Method for
Growing Graphs and Circuits.- Developmental Models for Emergent Computation.-
Developmental Effects on Tuneable Fitness Landscapes.- POEtic.- POEtic
Tissue: An Integrated Architecture for Bio-inspired Hardware.- Ontogenetic
Development and Fault Tolerance in the POEtic Tissue.- A Morphogenetic
Evolutionary System: Phylogenesis of the POEtic Circuit.- Spiking Neural
Networks for Reconfigurable POEtic Tissue.- A Learning, Multi-layered,
Hardware Artificial Immune System Implemented upon an Embryonic Array.-
Applications 1.- Virtual Reconfigurable Circuits for Real-World Applications
of Evolvable Hardware.- Gene Finding Using Evolvable Reasoning Hardware.-
Evolvable Fuzzy System for ATM Cell Scheduling.- Evolution of Digital
Circuits.- Synthesis of Boolean Functions Using Information Theory.- Evolving
Multiplier Circuits by Training Set and Training Vector Partitioning.-
Evolution of Self-diagnosing Hardware.- Hardware Challenges.- Routing of
Embryonic Arrays Using Genetic Algorithms.- Exploiting Auto-adaptive ?GP for
Highly Effective Test Programs Generation.- Speeding up Hardware Evolution: A
Coprocessor for Evolutionary Algorithms.- Applications 2.- Automatic
Evolution of SignalSeparators Using Reconfigurable Hardware.- Distributed
Control in Self-reconfigurable Robots.- Co-evolving Complex Robot Behavior.-
Evolutionary Hardware.- Evolving Reinforcement Learning-Like Abilities for
Robots.- Evolving Image Processing Operations for an Evolvable Hardware
Environment.- Hardware Implementation of a Genetic Controller and Effects of
Training on Evolution.- Neural Systems.- Real World Hardware Evolution: A
Mobile Platform for Sensor Evolution.- Real-Time Reconfigurable Linear
Threshold Elements and Some Applications to Neural Hardware.- Simulation of a
Neural Node Using SET Technology.- General Purpose Processor Architecture for
Modeling Stochastic Biological Neuronal Assemblies.- Logic Design.- Use of
Particle Swarm Optimization to Design Combinational Logic Circuits.- A Note
on Designing Logical Circuits Using SAT.- Evolutionary Strategies.- Using
Genetic Programming to Generate Protocol Adaptors for Interprocess
Communication.- Using Genetic Programming and High Level Synthesis to Design
Optimized Datapath.- The Effect of the Bulge Loop upon the Hybridization
Process in DNA Computing.- Quantum versus Evolutionary Systems. Total versus
Sampled Search.