000 | 03895nam a22006015i 4500 | ||
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001 | 978-94-007-4933-7 | ||
003 | DE-He213 | ||
005 | 20200421112044.0 | ||
007 | cr nn 008mamaa | ||
008 | 121009s2013 ne | s |||| 0|eng d | ||
020 |
_a9789400749337 _9978-94-007-4933-7 |
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024 | 7 |
_a10.1007/978-94-007-4933-7 _2doi |
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050 | 4 | _aQA76.9.C65 | |
072 | 7 |
_aUGK _2bicssc |
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072 | 7 |
_aCOM072000 _2bisacsh |
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082 | 0 | 4 |
_a003.3 _223 |
245 | 1 | 0 |
_aAgent-Based Modelling of Socio-Technical Systems _h[electronic resource] / _cedited by Koen H. van Dam, Igor Nikolic, Zofia Lukszo. |
264 | 1 |
_aDordrecht : _bSpringer Netherlands : _bImprint: Springer, _c2013. |
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300 |
_aXXVIII, 268 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aAgent-Based Social Systems, _x1861-0803 ; _v9 |
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505 | 0 | _aForeword by Prof Nigel Gilbert -- Preface by the editors -- 1 Introduction; G.P.J. Dijkema, Z. Lukszo and M.P.C. Weijnen -- Part I Theory and practice -- 2 Theory; I. Nikolic and J. Kasmire.-3 Practice; I. Nikolic, K.H. van Dam and J. Kasmire -- Part II Case Studies -- 4 Introduction to the Case Studies; K.H. van Dam, I. Nikolic and Z. Lukszo -- 5 Agent-Based Models of Supply Chains; B. Behdani, K.H. van Dam and Z. Lukszo -- 6 An Agent-Based Model of Consumer Lighting; E.J.L. Chappin and M.R. Afman -- 7 An Agent-based Model of CO2 Policies and Electricity Generation; E.J.L. Chappin and G.P.J. Dijkema -- 8 An Agent-Based Model of a Mobile Phone Production, Consumption and Recycling Network; L.A. Bollinger, C.B. Davis and I. Nikolic -- 9 Next Steps in Modelling Socio-Technical Systems: Towards Collaborative Modelling; A. Chmieliauskas, C.B. Davis and L.A. Bollinger -- List of Contributors -- Index. | |
520 | _aDecision makers in large scale interconnected network systems require simulation models for decision support. The behaviour of these systems is determined by many actors, situated in a dynamic, multi-actor, multi-objective and multi-level environment. How can such systems be modelled and how can the socio-technical complexity be captured? Agent-based modelling is a proven approach to handle this challenge. This book provides a practical introduction to agent-based modelling of socio-technical systems, based on a methodology that has been developed at Delft University of Technology and which has been deployed in a large number of case studies. The book consists of two parts: the first presents the background, theory and methodology as well as practical guidelines and procedures for building models. In the second part this theory is applied to a number of case studies, where for each model the development steps are presented extensively, preparing the reader for creating own models. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aBusiness. | |
650 | 0 | _aManagement science. | |
650 | 0 | _aComputer simulation. | |
650 | 0 | _aElectric power production. | |
650 | 0 | _aComputational intelligence. | |
650 | 0 | _aComplexity, Computational. | |
650 | 0 | _aSocial sciences. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aSimulation and Modeling. |
650 | 2 | 4 | _aComplexity. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aSocial Sciences, general. |
650 | 2 | 4 | _aBusiness and Management, general. |
650 | 2 | 4 | _aEnergy Technology. |
700 | 1 |
_aDam, Koen H. van. _eeditor. |
|
700 | 1 |
_aNikolic, Igor. _eeditor. |
|
700 | 1 |
_aLukszo, Zofia. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9789400749320 |
830 | 0 |
_aAgent-Based Social Systems, _x1861-0803 ; _v9 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-94-007-4933-7 |
912 | _aZDB-2-SCS | ||
942 | _cEBK | ||
999 |
_c56829 _d56829 |