Imitation of Life: How Biology Is Inspiring Computing Contributor(s): Forbes, Nancy (Author) |
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ISBN: 0262062410 ISBN-13: 9780262062411 Publisher: MIT Press
Binding Type: Hardcover - See All Available Formats & Editions Published: May 2004 * Out of Print * Annotation: 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, whichuses 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. Click for more in this series: Mit Press |
Additional Information |
BISAC Categories: - Computers | Computer Science - Science | Life Sciences - Biology |
Dewey: 570 |
LCCN: 2003064195 |
Age Level: 18-UP |
Grade Level: 13-UP |
Series: Mit Press |
Physical Information: 0.81" H x 6.36" W x 9.2" L (0.97 lbs) 190 pages |
Features: Illustrated |
Review Citations: Booklist 05/15/2004 pg. 1586 Library Journal 06/15/2004 pg. 89 Choice 12/01/2004 pg. 686 |
Descriptions, Reviews, Etc. |
Publisher Description: How scientists are using nature as model and metaphor to reinvent computing: a survey of an emerging field. 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. |
Contributor Bio(s): Forbes, Nancy: - 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. |
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