000 | 03416nam a2200505 i 4500 | ||
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001 | 6276858 | ||
003 | IEEE | ||
005 | 20220712204751.0 | ||
006 | m o d | ||
007 | cr |n||||||||| | ||
008 | 151223s2012 mau ob 001 eng d | ||
020 |
_a9780262305891 _qelectronic |
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020 |
_z9780262017831 _qhardcover : alk. paper |
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020 |
_z0262017830 _qhardcover : alk. paper |
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020 |
_z0262305895 _qelectronic |
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020 |
_z9780262525930 _qprint |
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035 | _a(CaBNVSL)mat06276858 | ||
035 | _a(IDAMS)0b000064818c1fcf | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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050 | 4 |
_aTJ217 _b.H644 2012eb |
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082 | 0 | 4 |
_a003 _223 |
100 | 1 |
_aHolland, John H. _q(John Henry), _d1929- _922605 |
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245 | 1 | 0 |
_aSignals and boundaries : _bbuilding blocks for complex adaptive systems / _cJohn H. Holland. |
264 | 1 |
_aCambridge, Massachusetts : _bMIT Press, _cc2012. |
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264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2012] |
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300 | _a1 PDF (320 pages). | ||
336 |
_atext _2rdacontent |
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337 |
_aelectronic _2isbdmedia |
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338 |
_aonline resource _2rdacarrier |
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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. _919855 |
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650 | 0 |
_aAdaptation (Biology) _xMathematical models. _922607 |
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650 | 0 |
_aAdaptive control systems. _97063 |
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655 | 0 |
_aElectronic books. _93294 |
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710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. _923675 |
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710 | 2 |
_aMIT Press, _epublisher. _923676 |
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776 | 0 | 8 |
_iPrint version _z9780262525930 |
856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6276858 |
942 | _cEBK | ||
999 |
_c73254 _d73254 |