具體描述
How can we capture the unpredictable evolutionary and emergent properties of nature in software? How can understanding the mathematical principles behind our physical world help us to create digital worlds? This book focuses on a range of programming strategies and techniques behind computer simulations of natural systems, from elementary concepts in mathematics and physics to more advanced algorithms that enable sophisticated visual results. Readers will progress from building a basic physics engine to creating intelligent moving objects and complex systems, setting the foundation for further experiments in generative design. Subjects covered include forces, trigonometry, fractals, cellular automata, self-organization, and genetic algorithms. The book's examples are written in Processing, an open-source language and development environment built on top of the Java programming language. On the book's website (http://www.natureofcode.com), the examples run in the browser via Processing's JavaScript mode.
用戶評價
##夠硬，youtube上作者的視頻很棒，簡單的個體行為構成復雜難以預測的群體，聯想到 《失控》
評分##然後還是覺得程序藝術隻在很窄的範圍內纔“藝術”
評分##對學Processing的人很有用的一本書，英文也都用的比較通俗易懂的簡單的句子，但畢竟不是母語看著有些慢，發現有中文版本的就轉戰中文版瞭。
評分##這書從封麵到內容...不知道怎麼形容瞭...kicking ass!
評分##processing入門=橙+粉+藍
評分##Daniel Shiffman 是世界上最有意思最可愛的編程老師！
評分##對學Processing的人很有用的一本書，英文也都用的比較通俗易懂的簡單的句子，但畢竟不是母語看著有些慢，發現有中文版本的就轉戰中文版瞭。
評分##感覺自己寫的代碼脫胎換骨
評分##Introduction to Processing & nature systems. http://natureofcode.com/book/introduction/
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