The Computational Beauty of Nature

基本信息

Series:A Bradford Book

Format:Paperback / softback 520 pages

Publisher:MIT Press Ltd

Imprint:MIT Press

ISBN:9780262561273

Published:27 Jan 2000

Weight:918g

Dimensions:227 x 202 x 24 (mm)

页面参数仅供参考，具体以实物为准

书籍简介

加里·威廉·弗莱克深入阐述了一个简单的观点，即循环性规则可以产生丰富而复杂的行为。

在这本书中，加里·威廉·弗莱克深入地阐述了一个简单的观点，即反复出现的规则可以产生丰富而复杂的行为。将“代理人”（如分子、细胞、动物和物种）与它们的相互作用（如化学反应、免疫系统反应、性繁殖和进化）区分开来，弗莱克认为，正是相互作用的计算特性说明了我们认为的“美丽”和“有趣”的许多东西。从这个基本论点出发，弗莱克探讨了他认为是当今最有趣的四个计算主题：分形、混沌、复杂系统和适应。

本书的每个部分都可以独立阅读，即使是普通读者也能理解并使用基本的方程式和程序。然而，这些部分又被计算机作为实验室和理解宇宙的隐喻这一主题联系在一起。受到启发的读者将进一步试验所提出的想法，创造分形景观、混沌系统、人工生命形式、遗传算法和人工神经网络。

Gary William Flake develops in depth the simple idea that recurrent rules can produce rich and complicated behaviors.

In this book Gary William Flake develops in depth the simple idea that recurrent rules can produce rich and complicated behaviors. Distinguishing "agents" (e.g., molecules, cells, animals, and species) from their interactions (e.g., chemical reactions, immune system responses, sexual reproduction, and evolution), Flake argues that it is the computational properties of interactions that account for much of what we think of as "beautiful" and "interesting." From this basic thesis, Flake explores what he considers to be today's four most interesting computational topics: fractals, chaos, complex systems, and adaptation.

Each of the book's parts can be read independently, enabling even the casual reader to understand and work with the basic equations and programs. Yet the parts are bound together by the theme of the computer as a laboratory and a metaphor for understanding the universe. The inspired reader will experiment further with the ideas presented to create fractal landscapes, chaotic systems, artificial life forms, genetic algorithms, and artificial neural networks.

作者简介

加里·威廉·弗莱克博士是微软的技术研究员，也是《自然的计算美》（麻省理工学院出版社1998年）一书的作者，该书被用于世界各地的大学课程。他在15年内发表了大量的著作，主要集中在机器学习、数据挖掘和自组织方面。他的其他研究兴趣包括网络测量、高效算法、受自然启发的适应模型和时间序列预测。

Dr. Gary William Flake is a Technical Fellow at Microsoft and author of the book, The Computational Beauty of Nature (MIT Press 1998), which is used in college courses worldwide. He has numerous publications spanning over 15 years which have focused on machine learning, data mining, and self-organization. His other research interests include Web measurements, efficient algorithms, models of adaptation inspired by nature, and time series forecasting.