The Computational Beauty of Nature: Computer Explorations of Fractals, Chaos, Complex Systems, and Adaptation (Paperback)
暫譯: 自然的計算美:電腦探索分形、混沌、複雜系統與適應性

Gary William Flake

  • 出版商: MIT
  • 出版日期: 2000-01-27
  • 售價: $2,950
  • 貴賓價: 9.5$2,803
  • 語言: 英文
  • 頁數: 514
  • 裝訂: Paperback
  • ISBN: 0262561271
  • ISBN-13: 9780262561273
  • 海外代購書籍(需單獨結帳)

商品描述

"This delightful book illustrates beautifully the paradigm shift in physics from writing equations and solving them to computer modeling and experimentation." -- Greg Chaitin, author of The Limits of Mathematics

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.

商品描述(中文翻譯)

這本令人愉悅的書美妙地展示了物理學從寫方程式和解方程式到電腦建模和實驗的範式轉變。-- Greg Chaitin,《數學的極限》一書的作者

在這本書中,Gary William Flake 深入發展了一個簡單的想法:重複規則可以產生豐富而複雜的行為。Flake 將「代理」(例如,分子、細胞、動物和物種) 與它們的互動 (例如,化學反應、免疫系統反應、性繁殖和進化) 區分開來,並主張正是互動的計算特性解釋了我們所認為的「美麗」和「有趣」的許多事物。基於這一基本論點,Flake 探索了他認為當今四個最有趣的計算主題:分形、混沌、複雜系統和適應。

書中的每一部分都可以獨立閱讀,使得即使是隨意的讀者也能理解並使用基本的方程式和程式。然而,這些部分由電腦作為實驗室和理解宇宙的隱喻的主題緊密相連。受到啟發的讀者將進一步實驗所提出的想法,以創造分形景觀、混沌系統、人造生命形式、遺傳演算法和人工神經網絡。