Imitation of Life: How Biology Is Inspiring Computing
暫譯: 生命的模仿：生物學如何啟發計算機技術

Description:

As computers and the tasks they perform become increasingly complex, researchers are looking to nature -- as model and as metaphor -- for inspiration. The organization and behavior of biological organisms present scientists with an invitation to reinvent computing for the complex tasks of the future. In Imitation of Life, Nancy Forbes surveys the emerging field of biologically inspired computing, looking at some of the most impressive and influential examples of this fertile synergy.

Forbes points out that the influence of biology on computing goes back to the early days of computer science -- John von Neumann, the architect of the first digital computer, used the human brain as the model for his design. Inspired by von Neumann and other early visionaries, as well as by her work on the "Ultrascale Computing" project at the Defense Advanced Research Projects Agency (DARPA), Forbes describes the exciting potential of these revolutionary new technologies. She identifies three strains of biologically inspired computing: the use of biology as a metaphor or inspiration for the development of algorithms; the construction of information processing systems that use biological materials or are modeled on biological processes, or both; and the effort to understand how biological organisms "compute," or process information.

Forbes then shows us how current researchers are using these approaches. In successive chapters, she looks at artificial neural networks; evolutionary and genetic algorithms, which search for the "fittest" among a generation of solutions; cellular automata; artificial life -- not just a simulation, but "alive" in the internal ecosystem of the computer; DNA computation, which uses the encoding capability of DNA to devise algorithms; self-assembly and its potential use in nanotechnology; amorphous computing, modeled on the kind of cooperation seen in a colony of cells or a swarm of bees; computer immune systems; bio-hardware and how bioelectronics compares to silicon; and the "computational" properties of cells.

Nancy Forbes works as a science and technology analyst for the federal government. She has advanced degrees both in physics and the humanities, and has served as a contributing editor for The Industrial Physicist and Computing in Science and Engineering.

 

 

Table of Contents:

Preface	ix
1	Artificial Neural Networks	1
2	Evolutionary Algorithms	13
3	Cellular Automata	25
4	Artificial Life	37
5	DNA Computation	51
6	Biomolecular Self-Assembly	67
7	Amorphous Computing	83
8	Computer Immune Systems	97
9	Biologically Inspired Hardware	113
10	Biology through the Lens of Computer Science	139
	Epilogue	155
	Notes	159
	Index	163