Illustrating evolutionary computation with Mathematica:
An essential capacity of intelligence is the ability to learn. An artificially intelligent system that could learn would not have to be programmed for every eventuality; it could adapt to its changing environment and conditions just as biological systems do. Illustrating Evolutionary Computation wit...
Gespeichert in:
Beteilige Person: | |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
San Francisco
Morgan Kaufmann Pub.
2001
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Schriftenreihe: | Evolutionary Computation Ser
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Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9781558606371/?ar |
Zusammenfassung: | An essential capacity of intelligence is the ability to learn. An artificially intelligent system that could learn would not have to be programmed for every eventuality; it could adapt to its changing environment and conditions just as biological systems do. Illustrating Evolutionary Computation with Mathematica introduces evolutionary computation to the technically savvy reader who wishes to explore this fascinating and increasingly important field. Unique among books on evolutionary computation, the book also explores the application of evolution to developmental processes in nature, such as the growth processes in cells and plants. If you are a newcomer to the evolutionary computation field, an engineer, a programmer, or even a biologist wanting to learn how to model the evolution and coevolution of plants, this book will provide you with a visually rich and engaging account of this complex subject. * Introduces the major mechanisms of biological evolution. * Demonstrates many fascinating aspects of evolution in nature with simple, yet illustrative examples. * Explains each of the major branches of evolutionary computation: genetic algorithms, genetic programming, evolutionary programming, and evolution strategies. * Demonstrates the programming of computers by evolutionary principles using Evolvica, a genetic programming system designed by the author. * Shows in detail how to evolve developmental programs modeled by cellular automata and Lindenmayer systems. * Provides Mathematica notebooks on the Web that include all the programs in the book and supporting animations, movies, and graphics. |
Beschreibung: | Includes bibliographical references (pages 527-546) and index. - Print version record |
Umfang: | 1 Online-Ressource (xvii, 578 Seiten) illustrations |
Format: | Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |
ISBN: | 0585457077 9780585457079 9781558606371 1558606378 9780080508450 0080508456 |
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538 | |a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. | ||
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series2 | Evolutionary Computation Ser |
spelling | Jacob, Christian VerfasserIn aut Principia evolvica Illustrating evolutionary computation with Mathematica Christian Jacob ; translated from the German by Christian Jacob San Francisco Morgan Kaufmann Pub. 2001 [Place of publication not identified] HathiTrust Digital Library 1 Online-Ressource (xvii, 578 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Evolutionary Computation Ser Includes bibliographical references (pages 527-546) and index. - Print version record Restrictions unspecified star An essential capacity of intelligence is the ability to learn. An artificially intelligent system that could learn would not have to be programmed for every eventuality; it could adapt to its changing environment and conditions just as biological systems do. Illustrating Evolutionary Computation with Mathematica introduces evolutionary computation to the technically savvy reader who wishes to explore this fascinating and increasingly important field. Unique among books on evolutionary computation, the book also explores the application of evolution to developmental processes in nature, such as the growth processes in cells and plants. If you are a newcomer to the evolutionary computation field, an engineer, a programmer, or even a biologist wanting to learn how to model the evolution and coevolution of plants, this book will provide you with a visually rich and engaging account of this complex subject. * Introduces the major mechanisms of biological evolution. * Demonstrates many fascinating aspects of evolution in nature with simple, yet illustrative examples. * Explains each of the major branches of evolutionary computation: genetic algorithms, genetic programming, evolutionary programming, and evolution strategies. * Demonstrates the programming of computers by evolutionary principles using Evolvica, a genetic programming system designed by the author. * Shows in detail how to evolve developmental programs modeled by cellular automata and Lindenmayer systems. * Provides Mathematica notebooks on the Web that include all the programs in the book and supporting animations, movies, and graphics. Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. Evolutionary programming (Computer science) Evolutionary computation Mathematica (Computer program language) Programmation évolutive Réseaux neuronaux à structure évolutive Mathematica (Langage de programmation) COMPUTERS ; Enterprise Applications ; Business Intelligence Tools COMPUTERS ; Intelligence (AI) & Semantics Computersimulation Evolution Evolutionstheorie Genetischer Algorithmus Mathematica ; Programm Mathematisches Modell Genetische algoritmen Grafische voorstellingen Mathematica (computerprogramma) Mathematica (Programm) 1558606378 Erscheint auch als Druck-Ausgabe 1558606378 |
spellingShingle | Jacob, Christian Illustrating evolutionary computation with Mathematica Evolutionary programming (Computer science) Evolutionary computation Mathematica (Computer program language) Programmation évolutive Réseaux neuronaux à structure évolutive Mathematica (Langage de programmation) COMPUTERS ; Enterprise Applications ; Business Intelligence Tools COMPUTERS ; Intelligence (AI) & Semantics Computersimulation Evolution Evolutionstheorie Genetischer Algorithmus Mathematica ; Programm Mathematisches Modell Genetische algoritmen Grafische voorstellingen Mathematica (computerprogramma) Mathematica (Programm) |
title | Illustrating evolutionary computation with Mathematica |
title_alt | Principia evolvica |
title_auth | Illustrating evolutionary computation with Mathematica |
title_exact_search | Illustrating evolutionary computation with Mathematica |
title_full | Illustrating evolutionary computation with Mathematica Christian Jacob ; translated from the German by Christian Jacob |
title_fullStr | Illustrating evolutionary computation with Mathematica Christian Jacob ; translated from the German by Christian Jacob |
title_full_unstemmed | Illustrating evolutionary computation with Mathematica Christian Jacob ; translated from the German by Christian Jacob |
title_short | Illustrating evolutionary computation with Mathematica |
title_sort | illustrating evolutionary computation with mathematica |
topic | Evolutionary programming (Computer science) Evolutionary computation Mathematica (Computer program language) Programmation évolutive Réseaux neuronaux à structure évolutive Mathematica (Langage de programmation) COMPUTERS ; Enterprise Applications ; Business Intelligence Tools COMPUTERS ; Intelligence (AI) & Semantics Computersimulation Evolution Evolutionstheorie Genetischer Algorithmus Mathematica ; Programm Mathematisches Modell Genetische algoritmen Grafische voorstellingen Mathematica (computerprogramma) Mathematica (Programm) |
topic_facet | Evolutionary programming (Computer science) Evolutionary computation Mathematica (Computer program language) Programmation évolutive Réseaux neuronaux à structure évolutive Mathematica (Langage de programmation) COMPUTERS ; Enterprise Applications ; Business Intelligence Tools COMPUTERS ; Intelligence (AI) & Semantics Computersimulation Evolution Evolutionstheorie Genetischer Algorithmus Mathematica ; Programm Mathematisches Modell Genetische algoritmen Grafische voorstellingen Mathematica (computerprogramma) Mathematica (Programm) |
work_keys_str_mv | AT jacobchristian principiaevolvica AT jacobchristian illustratingevolutionarycomputationwithmathematica |