Imitation of life : (Record no. 72919)

000 -LEADER
fixed length control field 04214nam a2200529 i 4500
001 - CONTROL NUMBER
control field 6267261
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220712204613.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151223s2005 maua ob 001 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- print
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780262256155
-- ebook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- hc : alk. paper
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic
082 04 - CLASSIFICATION NUMBER
Call Number 570
100 1# - AUTHOR NAME
Author Forbes, Nancy,
245 10 - TITLE STATEMENT
Title Imitation of life :
Sub Title how biology is inspiring computing /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 PDF (xv, 171 pages) :
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Artificial neural networks -- Evolutionary algorithms -- Cellular automata -- Artificial life -- DNA computation -- Biomolecular self-assembly -- Amorphous computing -- Computer immune systems -- Biologically inspired hardware -- Biology through the lens of computer science.
520 ## - SUMMARY, ETC.
Summary, etc 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.
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267261
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cambridge, Massachusetts :
-- MIT Press,
-- c2004
264 #2 -
-- [Piscataqay, New Jersey] :
-- IEEE Xplore,
-- [2005]
336 ## -
-- text
-- rdacontent
337 ## -
-- electronic
-- isbdmedia
338 ## -
-- online resource
-- rdacarrier
588 ## -
-- Title from title screen.
588 ## -
-- Description based on PDF viewed 12/23/2015.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biology.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.

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