000			03833cam a2200565Ii 4500
001			ocn965129496
003			OCoLC
005			20190328114817.0
006			m o d
007			cr cnu---unuuu
008			161130s2017 enk ob 001 0 eng d
040			_aIDEBK _beng _erda _epn _cIDEBK _dEBLCP _dN$T _dOPELS _dOCLCF _dN$T _dDEBSZ _dYDX _dOCLCQ _dVGM _dOCLCQ _dMERUC _dU3W _dEZ9 _dAU@ _dOCLCQ
019			_a964620095
020			_a9781785481574 _q(electronic bk.)
020			_a1785481576 _q(electronic bk.)
020			_a0081010648 _q(electronic bk.)
020			_a9780081010648 _q(electronic bk.)
035			_a(OCoLC)965129496 _z(OCoLC)964620095
050		4	_aT57.62
072		7	_aSCI _x064000 _2bisacsh
072		7	_aTEC _x029000 _2bisacsh
082	0	4	_a003/.3 _223
245	0	0	_aAgent-based spatial simulation with NetLogo. _n2, _pAdvanced concepts / _h[electronic resource] _cedited by Arnaud Banos, Christophe Lang, Nicolas Marilleau.
264		1	_aLondon : _bISTE Press, _c2017.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
504			_aIncludes bibliographical references and index.
588	0		_aOnline resource, title from PDF title page (EBSCO, viewed January 28, 2017).
505	0		_aFront Cover ; Agent-based Spatial Simulation with NetLogo 2: Advanced Concepts ; Copyright; Contents; Introduction; 1. NetLogo, an Open Simulation Environment; 1.1. Introduction to extensions in NetLogo; 1.2. Designing and developing extensions; 1.3. Using NetLogo from other platforms; 1.4. Deploying NetLogo models online; 1.5. Conclusion; 2. Multiscale Modeling: Application to Traffic Flow ; 2.1. Introduction; 2.2. Two agent-based models: NaSch and Underwood; 2.3. An equation-based LWR model; 2.4. Hybrid traffic model; 2.5. Conclusion and outlook.
505	8		_a3. Macro Models, Micro Models and Network-based Coupling3.1. Introduction; 3.2. Description of the equation-based SIR model; 3.3. Equation-based and agent-based propagation model: EpiSim; 3.4. Coupling SIR models based on networks; 3.5. SIR coupling without scaling: Metapop model; 3.6. SIR coupling with scaling: MicMac model; 3.7. Conclusion and outlook; 4. Networking, Networks and Dynamic Graphs; 4.1. Networking; 4.2. Networks and graphs in NetLogo; 5. Swarm Problem-Solving; 5.1. Introduction; 5.2. Collective approaches; 5.3. Collective sorting.
505	8		_a5.4. From food sourcing to finding the shortest path5.5. The intentions of a swarm; 5.6. Conclusion; 6. Exploring Complex Models in NetLogo; 6.1. Introduction; 6.2. Complex models and simulators; 6.3. Using NetLogo with OpenMOLE; 6.4. Analysis and interpretation of results; 6.5. Conclusion; Conclusion; Bibliography; List of Authors; Index; Back Cover.
650		0	_aSystem analysis _xData processing.
650		0	_aComputer simulation.
650		0	_aMultiagent systems.
650		0	_aNetLogo (Computer program language)
650		7	_aSCIENCE _xSystem Theory. _2bisacsh
650		7	_aTECHNOLOGY & ENGINEERING _xOperations Research. _2bisacsh
650		7	_aComputer simulation. _2fast _0(OCoLC)fst00872518
650		7	_aMultiagent systems. _2fast _0(OCoLC)fst01749717
650		7	_aNetLogo (Computer program language) _2fast _0(OCoLC)fst01909943
650		7	_aSystem analysis _xData processing. _2fast _0(OCoLC)fst01141391
655		4	_aElectronic books.
700	1		_aBanos, Arnaud, _eeditor.
700	1		_aLang, Christophe, _eeditor.
700	1		_aMarilleau, Nicolas, _eeditor.
776	0	8	_iPrint version: _tAgent-based spatial simulation with NetLogo. 2, Advanced concepts. _dLondon, [England] ; Oxford, [England] : ISTE Press Ltd : Elseveir Ltd, �2017 _hx, 220 pages _z9781785481574
856	4	0	_3ScienceDirect _uhttp://www.sciencedirect.com/science/book/9781785481574
999			_c247479 _d247479