000 04214nam a2200529 i 4500
001 6267261
003 IEEE
005 20220712204613.0
006 m o d
007 cr |n|||||||||
008 151223s2005 maua ob 001 eng d
020 _z9780262062411
_qprint
020 _a9780262256155
_qebook
020 _z0262062410
_qhc : alk. paper
020 _z1417560479
_qelectronic
020 _z0262256150
_qelectronic
035 _a(CaBNVSL)mat06267261
035 _a(IDAMS)0b000064818b4221
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aQH307.2
_b.F64 2004eb
082 0 4 _a570
_222
100 1 _aForbes, Nancy,
_eauthor.
_921809
245 1 0 _aImitation of life :
_bhow biology is inspiring computing /
_cNancy Forbes.
264 1 _aCambridge, Massachusetts :
_bMIT Press,
_cc2004
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2005]
300 _a1 PDF (xv, 171 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 _aArtificial 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.
506 1 _aRestricted to subscribers or individual electronic text purchasers.
520 _aAs 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.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
550 _aDigitized and made available by: Books24x7.com.
588 _aTitle from title screen.
588 _aDescription based on PDF viewed 12/23/2015.
650 0 _aBiology.
_911241
650 0 _aComputer science.
_99832
655 0 _aElectronic books.
_93294
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_921810
710 2 _aMIT Press,
_epublisher.
_921811
776 0 8 _iPrint version
_z9780262062411
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267261
942 _cEBK
999 _c72919
_d72919