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Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications (Chapman & Hall/CRC Computer and Information Science Series
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Natural computing brings together nature and computing to develop new computational tools for problem solving; to synthesize natural patterns and behaviors in computers; and to potentially design novel types of computers. Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications presents a wide-ranging survey of novel techniques and important applications of nature-based computing.
This book presents theoretical and philosophical discussions, pseudocodes for algorithms, and computing paradigms that illustrate how computational techniques can be used to solve complex problems, simulate nature, explain natural phenomena, and possibly allow the development of new computing technologies. The author features a consistent and approachable, textbook-style format that includes lucid figures, tables, real-world examples, and different types of exercises that complement the concepts while encouraging readers to apply the computational tools in each chapter. Building progressively upon core concepts of nature-inspired techniques, the topics include evolutionary computing, neurocomputing, swarm intelligence, immunocomputing, fractal geometry, artificial life, quantum computing, and DNA computing.
Fundamentals of Natural Computing is a self-contained introduction and a practical guide to nature-based computational approaches that will find numerous applications in a variety of growing fields including engineering, computer science, biological modeling, and bioinformatics.
- Sales Rank: #1214553 in Books
- Published on: 2006-06-02
- Original language: English
- Number of items: 1
- Dimensions: 9.26" h x 1.46" w x 6.36" l, 2.36 pounds
- Binding: Hardcover
- 696 pages
Review
… well written … a thorough introduction about the relationship of computing and nature.
―Jan Friso Groote, in Zentralblatt MATH, Vol. 1130
About the Author
Leandro Nunes de Castro (S'96 - M'01) received the B.Sc. degree in Electrical Engineering from the Federal University of Goias, Goibnia, Brazil, in 1996, and M.Sc. degree in Electrical Engineering and Ph.D. degree in Computer Engineering from the State University of Campinas, Campinas, Sco Paulo, Brazil, in 1998 and 2001, respectively. He was a Research Associate with the Computing Laboratory at the University of Kent, Canterbury, U.K. from 2001 to 2002, and a Visiting Lecturer at the School of Computer and Electrical Engineering at Unicamp. He is currently an assistant professor at the Catholic University of Santos in Brazil and a Research Fellow at Unicamp. He has broad interest in all natural computing approaches with particular emphasis on biologically inspired computing, including artificial immune systems, artificial neural networks, evolutionary algorithms, swarm intelligence, artificial life and DNA computing. He has given a number of tutorials about natural computing, and has published over fifty research papers on the subject. Dr. de Castro is a member of the IEEE Institute of Electrical and Electronics Engineers, INNS International Neural Network Society and the SBA Brazilian Automation Society. He has been a member of the program committee for a number of conferences and referee for several journals related to computational intelligence, such as the Soft Computing Journal, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Neural Networks, and IEEE Transactions on Systems, Man, and Cybernetics.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Fun concepts, difficult to implement
By mdegges
I had to get this book for a bio programming course. Overall, I found it to be very useful at explaining concepts clearly. The field was completely new to me but I found the concepts really interesting, and just recently finished reading the chapters we didn't cover. What I found especially useful was the pseudocode that was included in most sections. It was a challenge to convert into python code since I had no previous experience programming with python, but the pseudocode really helped me simplify the complex algorithms. In my course we covered the ant clustering algorithm, genetic algorithms, lsystems, boolean networks, cellular automata, biomorphs, and the game of life. All of these topics were covered in the book and made for some fun projects.
I'm giving this three stars because some concepts were not explained as well as they could have been (for beginners). I spent a lot of time doing online research to be able to write the programs I needed to for class. While the pseudocode was helpful, its variables were not always defined and explained. A lot of us in class understood the concepts but were not able to create working implementations. There were also some problems I ran into (such as overlapping trees in my lsystem implementation) which led me believe I was doing something wrong, when in fact it was just something that the authors didn't explain. It's little things like this that can make programmaing overly complicated, but great technical books explain them in detail.
1 of 1 people found the following review helpful.
Everything in one place!
By Marcos A. Leone Fh
This book has everything one needs to know about natural computer. Specially for those who are initiating themselves in this field of study. Topics are not deeply discussed but this is also great if you want to have this book as all-in-one reference (you can go deeper into one specific subject using this book as a guide to find other references).
0 of 2 people found the following review helpful.
Revisão dos principais tópicos sobre Computação Natura
By Renato M. Leite
Livro muito didático e eloquente!
Explica os conceitos dos principais temas em Computação Natural (Computação Evolutiva, Redes Neurais, Intelligencia Coletiva, etc.), algoritmos (em pseudo código) e fundamentos matemáticos.
Ótimo para quem quer ter uma visão geral dessa disciplina.
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