Product Information
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.Product Identifiers
PublisherElsevier Science & Technology
ISBN-139781558606371
eBay Product ID (ePID)89590584
Product Key Features
Number of Pages578 Pages
Publication NameIllustrating Evolutionary Computation with Mathematica
LanguageEnglish
SubjectComputer Science
Publication Year2001
TypeTextbook
AuthorChristian Jacob
SeriesThe Morgan Kaufmann Series in Artificial Intelligence
Dimensions
Item Height235 mm
Item Weight1200 g
Additional Product Features
Country/Region of ManufactureUnited States
Title_AuthorChristian Jacob