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Biological computation /

The area of biologically inspired computing, or biological computation, involves the development of new, biologically based techniques for solving difficult computational problems. A unified overview of computer science ideas inspired by biology, Biological Computation presents the most fundamental...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Lamm, Ehud
Otros Autores: Unger, Ron
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : CRC Press, Ã2011.
Colección:Chapman and Hall/CRC mathematical & computational biology series.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Biological computation /  |c Ehud Lamm, Ron Unger. 
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520 3 |a The area of biologically inspired computing, or biological computation, involves the development of new, biologically based techniques for solving difficult computational problems. A unified overview of computer science ideas inspired by biology, Biological Computation presents the most fundamental and significant concepts in this area. In the book, students discover that bacteria communicate, that DNA can be used for performing computations, how evolution solves optimization problems, that the way ants organize their nests can be applied to solve clustering problems, and what the human immune system can teach us about protecting computer networks. The authors discuss more biological examples such as these, along with the computational techniques developed from these scenarios. 
545 0 |a Ehud Lamm is on the faculty of The Cohn Institute for the History and Philosophy of Science and Ideas at Tel-Aviv University. Along with his co-author, he previously developed a course on biological computation for the Open University of Israel. He earned his Ph.D. in philosophy of science from Tel-Aviv University.Ron Unger is a professor and head of the computational biology program at Bar-Ilan University. His current research is focused on protein folding models, genetic algorithms, analysis of biological sequences, and noncoding RNA molecules. He earned his Ph.D. from the Weizmann Institute of Science. 
505 0 |a Front Cover; Table of Contents; Preface; Chapter 1: Introduction and Biological Background; Chapter 2: Cellular Automata; Chapter 3: Evolutionary Computation; Chapter 4: Artificial Neural Networks; Chapter 5: Molecular Computation; Chapter 6: The Never-Ending Story: Additional Topics at the Interface between Biology and Computation; Back Cover 
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