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

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...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Tyrrell, Andy M. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Haddow, Pauline C. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Torresen, Jim (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
Έκδοση:1st ed. 2003.
Σειρά:Lecture Notes in Computer Science, 2606
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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 Signal Separators 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.