000 | 03440nam a2200577 i 4500 | ||
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001 | 7109293 | ||
003 | IEEE | ||
005 | 20220712204839.0 | ||
006 | m o d | ||
007 | cr |n||||||||| | ||
008 | 151223s2015 mau ob 001 eng d | ||
020 |
_a9780262328128 _qelectronic |
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020 |
_z0262731894 _qpaperback |
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020 |
_z9780262731898 _qpaperback |
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035 | _a(CaBNVSL)mat07109293 | ||
035 | _a(IDAMS)0b00006483f6bdd5 | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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050 | 4 |
_aT57.62 _b.W54 2015eb |
|
082 | 0 | 4 |
_a003/.3 _223 |
100 | 1 |
_aWilensky, Uri, _d1955-, _eauthor. _924594 |
|
245 | 1 | 3 |
_aAn introduction to agent-based modeling : _bmodeling natural, social, and engineered complex systems with NetLogo / _cUri Wilensky and William Rand. |
264 | 1 |
_aCambridge, Massachusetts : _bMIT Press, _c[2015] |
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264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2015] |
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300 | _a1 PDF (504 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 | _aThe advent of widespread fast computing has enabled us to work on more complex problems and to build and analyze more complex models. This book provides an introduction to one of the primary methodologies for research in this new field of knowledge. Agent-based modeling (ABM) offers a new way of doing science: by conducting computer-based experiments. ABM is applicable to complex systems embedded in natural, social, and engineered contexts, across domains that range from engineering to ecology. An Introduction to Agent-Based Modeling offers a comprehensive description of the core concepts, methods, and applications of ABM. Its hands-on approach -- with hundreds of examples and exercises using NetLogo -- enables readers to begin constructing models immediately, regardless of experience or discipline.The book first describes the nature and rationale of agent-based modeling, then presents the methodology for designing and building ABMs, and finally discusses how to utilize ABMs to answer complex questions. Features in each chapter include step-by-step guides to developing models in the main text; text boxes with additional information and concepts; end-of-chapter explorations; and references and lists of relevant reading. There is also an accompanying website with all the models and code. | ||
530 | _aAlso available in print. | ||
538 | _aMode of access: World Wide Web | ||
588 | _aDescription based on PDF viewed 12/23/2015. | ||
650 | 0 |
_aNetLogo (Computer program language) _924595 |
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650 | 0 |
_aMultiagent systems. _94974 |
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650 | 0 |
_aComputer simulation. _95106 |
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650 | 0 |
_aSystem analysis _xData processing. _919061 |
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655 | 0 |
_aElectronic books. _93294 |
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695 | _aEpitaxial layers | ||
695 | _aExcitons | ||
695 | _aNitrogen | ||
695 | _aRadiative recombination | ||
695 | _aSilicon carbide | ||
695 | _aTemperature measurement | ||
700 | 1 |
_aRand, William, _d1976-, _eauthor. _924596 |
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710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. _924597 |
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710 | 2 |
_aMIT Press, _epublisher. _924598 |
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776 | 0 | 8 |
_iPrint version _z9780262731898 |
856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7109293 |
942 | _cEBK | ||
999 |
_c73417 _d73417 |