000			03348nam a2200493 i 4500
001			6276858
003			IEEE
005			20190220121649.0
006			m o d
007			cr |n|||||||||
008			151223s2012 mau ob 001 eng d
020			_a9780262305891 _qelectronic
020			_z9780262017831 _qhardcover : alk. paper
020			_z0262017830 _qhardcover : alk. paper
020			_z0262305895 _qelectronic
020			_z9780262525930 _qprint
035			_a(CaBNVSL)mat06276858
035			_a(IDAMS)0b000064818c1fcf
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aTJ217 _b.H644 2012eb
082	0	4	_a003 _223
100	1		_aHolland, John H. _q(John Henry), _d1929-
245	1	0	_aSignals and boundaries : _bbuilding blocks for complex adaptive systems / _cJohn H. Holland.
264		1	_aCambridge, Massachusetts : _bMIT Press, _cc2012.
264		2	_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2012]
300			_a1 PDF (320 pages).
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
504			_aIncludes bibliographical references and index.
506	1		_aRestricted to subscribers or individual electronic text purchasers.
520			_aComplex adaptive systems (cas), including ecosystems, governments, biological cells, and markets, are characterized by intricate hierarchical arrangements of boundaries and signals. In ecosystems, for example, niches act as semi-permeable boundaries, and smells and visual patterns serve as signals; governments have departmental hierarchies with memoranda acting as signals; and so it is with other cas. Despite a wealth of data and descriptions concerning different cas, there remain many unanswered questions about "steering" these systems. In Signals and Boundaries, John Holland argues that understanding the origin of the intricate signal/border hierarchies of these systems is the key to answering such questions. He develops an overarching framework for comparing and steering cas through the mechanisms that generate their signal/boundary hierarchies. Holland lays out a path for developing the framework that emphasizes agents, niches, theory, and mathematical models. He discusses, among other topics, theory construction; signal-processing agents; networks as representations of signal/boundary interaction; adaptation; recombination and reproduction; the use of tagged urn models (adapted from elementary probability theory) to represent boundary hierarchies; finitely generated systems as a way to tie the models examined into a single framework; the framework itself, illustrated by a simple finitely generated version of the development of a multi-celled organism; and Markov processes.
530			_aAlso available in print.
538			_aMode of access: World Wide Web
588			_aDescription based on PDF viewed 12/23/2015.
650		0	_aSignals and signaling _xMathematical models.
650		0	_aAdaptation (Biology) _xMathematical models.
650		0	_aAdaptive control systems.
655		0	_aElectronic books.
710	2		_aIEEE Xplore (Online Service), _edistributor.
710	2		_aMIT Press, _epublisher.
776	0	8	_iPrint version _z9780262525930
856	4	2	_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6276858
999			_c39513 _d39513