000 03895nam a22006015i 4500
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
024 7 _a10.1007/978-94-007-4933-7
_2doi
050 4 _aQA76.9.C65
072 7 _aUGK
_2bicssc
072 7 _aCOM072000
_2bisacsh
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.
300 _aXXVIII, 268 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAgent-Based Social Systems,
_x1861-0803 ;
_v9
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