Illustrating Evolutionary Computation with Mathematica

Christian Jacob

ISBN 10: 1558606378 / ISBN 13: 9781558606371

Verlag: Elsevier Science, 2001

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Bestandsnummer des Verkäufers 9781558606371

Bibliografische Details

• Titel: Illustrating Evolutionary Computation with Mathematica
• Verlag: Elsevier Science
• Erscheinungsjahr: 2001
• Sprache: Englisch
• ISBN-10: 1558606378
• ISBN-13: 9781558606371
• Einband: Buch
• Zustand: Neu
• Abmessungen: 245B x 195 H x 34 T Millimeter Breite: 245 mm, Höhe: 195 mm, Tiefe: 34 mm
• Gewicht: 1236 Gramm

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

Christian Jacob is assistant professor in the Department of Computer Science at the University of Calgary. His areas of interest include evolutionary algorithms, Lindenmayer systems, ecosystems modeling, distributed computing, alternative programming paradigms, biocomputing, and bioinformatics. He is the author of the German edition of this book, Principia Evolvica Simulierte Evolution mit Mathematica, published by dpunkt.verlag.