000			04203cam a22006014a 4500
001			ocm53306549
003			OCoLC
005			20251028093041.0
008			031022s2004 maua b 001 0 eng
010			_a 2003064195
015			_aGBA4Y5546 _2bnb
015			_aGBA564771 _2bnb
016	7		_a006955077 _2Uk
016	7		_a013264883 _2Uk
020			_a0262062410 (hc : alk. paper)
020			_a9780262062411 (hc : alk. paper)
020			_a0262562154 (pbk.)
020			_a9780262562157 (pbk.)
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029	1		_aNZ1 _b8047587
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035			_a(Sirsi) i9780262062411
035			_a(Sirsi) i9780262062411
035			_a(Sirsi) i9780262062411
035			_a(Sirsi) i9780262062411
035			_a(OCoLC)53306549
040			_aDLC _cDLC _dYDX _dYBM _dBAKER _dUWC _dUKM _dNLGGC _dXY4 _dBTCTA _dLVB _dYDXCP _dSTF _dVF$
042			_apcc
049			_aVF$A
050	0	0	_aQA76.87 _b.F67 2004
050	0	0	_aQH307.2 _b.F64 2004
100	1		_aForbes, Nancy.
245	1	0	_aImitation of life : _bhow biology is inspiring computing / _cNancy Forbes.
260			_aCambridge, Mass. : _bMit Press, _cc2004.
300			_axv, 171 p. : _bill. ; _c24 cm.
504			_aIncludes bibliographical references (p. [159]-162).
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.
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. How scientists are using nature as model and metaphor to reinvent computing: a survey of an emerging field.
650		0	_aNeural networks (Computer science)
650		0	_aMolecular computers.
650		0	_aImmunocomputers.
650		0	_aArtificial life.
650		0	_aBiologically-inspired computing.
650	1	7	_aBiologie. _2gtt
650	1	7	_aInformatica. _2gtt
650	1	7	_aNatuur. _2gtt
650	1	7	_aLeven. _2gtt
650		6	_aBiologie.
650		6	_aInformatique.
999			_c125706 _d125706