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Natural Computing 4th International Workshop on Natural Computing, Himeji, Japan, September 2009, Proceedings /
Most natural and artificial systems transform information in a predictable or programmable way; such transformation can be interpreted as harnessing nature for computing. Recently we have witnessed a burst of research in unconventional computing, resulting in the development of experimental prototyp...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Tokyo :
Springer Japan : Imprint: Springer,
2010.
|
| Edición: | 1st ed. 2010. |
| Colección: | Proceedings in Information and Communications Technology,
2 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Invited Talks
- Investigating Universal Computability of Conventional Cellular Automata Problems on an Organic Molecular Matrix
- Noise-Based Logic and Computing: From Boolean Logic Gates to Brain Circuitry and Its Possible Hardware Realization
- Models and Mechanisms for Artificial Morphogenesis
- Biologically-Inspired Network Architecture for Future Networks
- Foraging Behaviors and Potential Computational Ability of Problem-Solving in an Amoeba
- Two Molecular Information Processing Systems Based on Catalytic Nucleic Acids
- Invited Papers
- The Effect of Community on Distributed Bio-inspired Service Composition
- Efficient Computation in Brownian Cellular Automata
- A Molecular Communication System
- Properties of Threshold Coupled Chaotic Neuronal Maps
- Contributed Papers
- Implementation of Rotary Element with Quantum Cellular Automata
- Universal 2-State Asynchronous Cellular Automaton with Inner-Independent Transitions
- Effect of Population Size in Extended Parameter-Free Genetic Algorithm
- Temperature Effects on Olive Fruit Fly Infestation in the FlySim Cellular Automata Model
- Computing by Observing Changes
- Robustness of the Critical Behaviour in a Discrete Stochastic Reaction-Diffusion Medium
- Quantifying the Severity of the Permutation Problem in Neuroevolution
- Extending the Geometrical Design of DNA Nanostructures
- An Optical Solution for the Subset Sum Problem
- Design of True Random One-Time Pads in DNA XOR Cryptosystem
- On Designing Gliders in Three-Dimensional Larger than Life Cellular Automata
- Instability of Collective Flow in Two-Dimensional Optimal Velocity Model
- A New Differential Evolution for Multiobjective Optimization by Uniform Design and Minimum Reduce Hypervolume
- Noise Effects on Chaos in Chaotic Neuron Model
- Application of Improved Grammatical Evolution to Santa Fe Trail Problems
- Limit Theorem for a Time-Dependent Coined Quantum Walk on the Line
- Top-Predator Survivor Region Is Affected by Bottom-Prey Mortality Rate on the Monte-Carlo Simulation in Lattice Model
- Simulation and Theoretical Comparison between "Zipper" and "Non-Zipper" Merging
- Universality of 2-State 3-Symbol Reversible Logic Elements - A Direct Simulation Method of a Rotary Element
- Pump Current as a Signal Transformation
- Evaluation of Generation Alternation Models in Evolutionary Robotics
- Photonic Switching of DNA's Position That Represents the Internal State in Photonic DNA Automaton
- Fluctuation Induced Structure in Chemical Reaction with Small Number of Molecules
- Parallel Retrieval of Nanometer-Scale Light-Matter Interactions for Nanophotonic Systems
- A Compressible Fluid Model for Traffic Flow and Nonlinear Saturation of Perturbation Growth
- Functional Sized Population Magnetic Optimization Algorithm
- Emergence and Collapse of Order in Ad Hoc Cellular Automata
- A Transition Rule Set for the First 2-D Optimum-Time Synchronization Algorithm
- A Two-Dimensional Optimum-Time Firing Squad Synchronization Algorithm and Its Implementation
- Quaternion Based Thermal Condition Monitoring System
- Firing Correlation in Spiking Neurons with Watts-Strogatz Rewiring
- Methods for Shortening Waiting Time in Walking-Distance Introduced Queueing Systems
- Effect of Mutation to Distribution of Optimum Solution in Genetic Algorithm.