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Handbook of natural computing

Author: Grzegorz Rozenberg; Thomas Bäck; Joost N Kok
Publisher: Berlin ; London : Springer, ©2012.
Series: Springer reference.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Natural Computing is the field of research that investigates both human-designed computing inspired by nature and computing taking place in nature, i.e., it investigates models and computational techniques inspired by nature and also it investigates phenomena taking place in nature in terms of information processing. Examples of the first strand of research covered by the handbook include neural computation inspired  Read more...

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Genre/Form: Electronic books
Handbooks and manuals
Handbooks, manuals, etc
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Grzegorz Rozenberg; Thomas Bäck; Joost N Kok
ISBN: 9783540929109 354092910X
OCLC Number: 808633869
Language Note: English.
Description: 1 online resource.
Contents: Algorithmic Systems Biology --
Computer Science Propels Systems Biology / Corrado Priami --
Algorithmic Tools on Cellular Automata / Marianne Delorme and Jacques Mazoyer --
Algorithms for Quantum Computers / Jamie Smith and Michele Mosca --
An Introduction to Artificial Immune Systems / Mark Read, Paul S. Andrews and Jon Timmis --
Artificial Life / Wolfgang Banzhaf and Barry McMullin --
Bacterial Computing and Molecular Communication / Yasubumi Sakakibara and Satoshi Hiyama --
Basic Concepts of Cellular Automata / Jarkko J. Kari --
Bell's Inequalities --
Foundations and Quantum Communication / Časlav Brukner and Marek Żukowski --
BQP-Complete Problems / Shengyu Zhang --
Cellular Automata and Lattice Boltzmann Modeling of Physical Systems / Bastien Chopard --
Cellular Automata Dynamical Systems / Alberto Dennunzio, Enrico Formenti and Petr Kůrka --
Coevolutionary Principles / Elena Popovici, Anthony Bucci, R. Paul Wiegand and Edwin D. De Jong --
Collision-Based Computing / Andrew Adamatzky and Jérôme Durand-Lose --
Computational Complexity of Evolutionary Algorithms / Thomas Jansen --
Computational Nature of Gene Assembly in Ciliates / Robert Brijder, Mark Daley, Tero Harju, Nataša Jonoska and Ion Petre, et al. --
Computations on Cellular Automata / Jacques Mazoyer and Jean-Baptiste Yunès --
Computing with Spiking Neuron Networks / Hélène Paugam-Moisy and Sander Bohte --
Conservation Laws in Cellular Automata / Siamak Taati. DNA Computing by Splicing and by Insertion-Deletion / Gheorghe Păun --
DNA Computing --
Foundations and Implications / Lila Kari, Shinnosuke Seki and Petr Sosík --
DNA Memory / Masanori Arita, Masami Hagiya, Masahiro Takinoue and Fumiaki Tanaka --
Engineering Natural Computation by Autonomous DNA-Based Biomolecular Devices / John H. Reif and Thomas H. LaBean --
Evolutionary Multiobjective Optimization / Eckart Zitzler --
Evolutionary Programming / Gary B. Fogel --
Evolutionary Strategies / Günter Rudolph --
Evolvable Hardware / Lukáš Sekanina --
Fast Construction of Single-Hidden-Layer Feedforward Networks / Kang Li, Guang-Bin Huang and Shuzhi Sam Ge --
Generalized Evolutionary Algorithms / Kenneth De Jong --
Genetic Algorithms --
A Survey of Models and Methods / Darrell Whitley and Andrew M. Sutton --
Genetic Programming --
Introduction, Applications, Theory and Open Issues / Leonardo Vanneschi and Riccardo Poli --
Genetics-Based Machine Learning / Tim Kovacs --
Image Quality Assessment --
A Multiscale Geometric Analysis-Based Framework and Examples / Xinbo Gao, Wen Lu, Dacheng Tao and Xuelong Li --
Independent Component Analysis / Seungjin Choi --
Language Recognition by Cellular Automata / Véronique Terrier --
Mathematics for Quantum Information Processing / Mika Hirvensalo --
Membrane Computing / Gheorghe Păun --
Memetic Algorithms / Natalio Krasnogor --
Modeling Biological Neural Networks / Joaquin J. Torres and Pablo Varona --
Molecular Computing Machineries --
Computing Models and Wet Implementations / Masami Hagiya, Satoshi Kobayashi, Ken Komiya, Fumiaki Tanaka and Takashi Yokomori. Natural Computing in Finance --
A Review / Anthony Brabazon, Jing Dang, Ian Dempsey, Michael O'Neill and David Edelman --
Neural Networks for Time-Series Forecasting / G. Peter Zhang --
Neural Networks in Bioinformatics / Ke Chen and Lukasz A. Kurgan --
Niching in Evolutionary Algorithms / Ofer M. Shir --
Nonclassical Computation --
A Dynamical Systems Perspective / Susan Stepney --
Nonlinear Process Modelling and Control Using Neurofuzzy Networks / Jie Zhang --
Physical Implementation of Large-Scale Quantum Computation / Kalle-Antti Suominen --
Process Calculi, Systems Biology and Artificial Chemistry / Pierpaolo Degano and Andrea Bracciali --
Quantum Cryptography / Takeshi Koshiba --
Reaction-Diffusion Computing / Andrew Adamatzky and Benjamin De Lacy Costello --
Reversible Cellular Automata / Kenichi Morita --
Rough-Fuzzy Computing / Andrzej Skowron --
Selected Aspects of Natural Computing / David W. Corne, Kalyanmoy Deb, Joshua Knowles and Xin Yao --
Self-organizing Maps / Marc M. Van Hulle --
Simulated Annealing / Kathryn A. Dowsland and Jonathan M. Thompson --
Stochastic Convergence / Günter Rudolph --
SVM Tutorial --
Classification, Regression and Ranking / Hwanjo Yu and Sungchul Kim --
Swarm Intelligence / David W. Corne, Alan Reynolds and Eric Bonabeau --
The Dynamical Systems Approach --
Progress Measures and Convergence Properties / Silja Meyer-Nieberg and Hans-Georg Beyer --
Universalities in Cellular Automata* / Nicolas Ollinger.
Series Title: Springer reference.
Responsibility: main editor: Grzegorz Rozenberg ; editors: Thomas H.W. Bäck, Joost N. Kok.


Natural Computing is the fascinating field that investigates human-designed computing inspired by nature and computing occurring in nature. This major reference is comprised of two volumes that  Read more...


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"I am delighted to be able to recommend this amazingly broad and comprehensive four-volume handbook. Natural Computing is here to stay. It is already becoming a central theme on the borderline Read more...

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   schema:description "Natural Computing is the field of research that investigates both human-designed computing inspired by nature and computing taking place in nature, i.e., it investigates models and computational techniques inspired by nature and also it investigates phenomena taking place in nature in terms of information processing. Examples of the first strand of research covered by the handbook include neural computation inspired by the functioning of the brain; evolutionary computation inspired by Darwinian evolution of species; cellular automata inspired by intercellular communication; swarm intelligence inspired by the behavior of groups of organisms; artificial immune systems inspired by the natural immune system; artificial life systems inspired by the properties of natural life in general; membrane computing inspired by the compartmentalized ways in which cells process information; and amorphous computing inspired by morphogenesis. Other examples of natural-computing paradigms are molecular computing and quantum computing, where the goal is to replace traditional electronic hardware, e.g., by bioware in molecular computing. In molecular computing, data are encoded as biomolecules and then molecular biology tools are used to transform the data, thus performing computations. In quantum computing, one exploits quantum-mechanical phenomena to perform computations and secure communications more efficiently than classical physics and, hence, traditional hardware allows. The second strand of research covered by the handbook, computation taking place in nature, is represented by investigations into, among others, the computational nature of self-assembly, which lies at the core of nanoscience, the computational nature of developmental processes, the computational nature of biochemical reactions, the computational nature of bacterial communication, the computational nature of brain processes, and the systems biology approach to bionetworks where cellular processes are treated in terms of communication and interaction, and, hence, in terms of computation. We are now witnessing exciting interaction between computer science and the natural sciences. While the natural sciences are rapidly absorbing notions, techniques and methodologies intrinsic to information processing, computer science is adapting and extending its traditional notion of computation, and computational techniques, to account for computation taking place in nature around us. Natural Computing is an important catalyst for this two-way interaction, and this handbook is a major record of this important development."@en ;
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