玄之又玄
地理元胞自动机研究(地球信息科学基础丛书) 豆瓣
作者: 周成虎 出版社: 科学出版社 1900 - 1
元胞自动机是一种时空离散的局部动力学模型,是复杂系统研究的一个典型方法,特别适合用于空间复杂系统的时空动态模拟研究。
本书共分五章。前三章对地理空间系统模拟、元胞自动机理论基础和地理元胞自动机模型作了概述,在对CA模型进行较为系统的深入研究基础上,结合地理复杂系统的特征,提出地理元胞自动机 (GeoCA)模型框架;第四章以城市为例,基于GeoCA模型框架,构造用于模拟城市土地利用动态发展
Self-Organization in Biological Systems 豆瓣
作者: Scott Camazine / Jean-Louis Deneubourg 出版社: Princeton University Press 2003 - 8
The synchronized flashing of fireflies at night. The spiraling patterns of an aggregating slime mold. The anastomosing network of army-ant trails. The coordinated movements of a school of fish. Researchers are finding in such patterns - phenomena that have fascinated naturalists for centuries - a fertile new approach to understanding biological systems: the study of self-organization. This book, a primer on self-organization in biological systems for students and other enthusiasts, introduces readers to the basic concepts and tools for studying self-organization and then examines numerous examples of self-organization in the natural world. Self-organization refers to diverse pattern formation processes in the physical and biological world, from sand grains assembling into rippled dunes to cells combining to create highly structured tissues to individual insects working to create sophisticated societies. What these diverse systems hold in common is the proximate means by which they acquire order and structure. In self-organizing systems, pattern at the global level emerges solely from interactions among lower-level components. Remarkably, even very complex structures result from the iteration of surprisingly simple behaviors performed by individuals relying on only local information. This striking conclusion suggests important lines of inquiry: to what degree is environmental rather than individual complexity responsible for group complexity? To what extent have widely differing organisms adopted similar, convergent strategies of pattern formation? How, specifically, has natural selection determined the rules governing interactions within biological systems? Broad in scope, thorough yet accessible, this book is a self-contained introduction to self-organization and complexity in biology - a field of study at the forefront of life sciences research.