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04613nam a22006255i 4500 |
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|a 9789400749337
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|a 10.1007/978-94-007-4933-7
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|a QA76.9.C65
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|a 003.3
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|a Agent-Based Modelling of Socio-Technical Systems
|h [electronic resource] /
|c edited by Koen H. van Dam, Igor Nikolic, Zofia Lukszo.
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|a 1st ed. 2013.
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|a Dordrecht :
|b Springer Netherlands :
|b Imprint: Springer,
|c 2013.
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|a XXVIII, 268 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
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|a text file
|b PDF
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|a Agent-Based Social Systems,
|x 1861-0803 ;
|v 9
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|a Foreword 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.
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|a Decision 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.
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|a Computer simulation.
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|a Computational complexity.
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|a Computational intelligence.
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|a Social sciences.
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|a Business.
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|a Management science.
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|a Energy systems.
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|a Simulation and Modeling.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I19000
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|a Complexity.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T11022
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|a Computational Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T11014
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|a Social Sciences, general.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/X00000
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|a Business and Management, general.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/500000
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|a Energy Systems.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/115000
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|a van Dam, Koen H.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Nikolic, Igor.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Lukszo, Zofia.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9789400749344
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|i Printed edition:
|z 9789401782685
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|i Printed edition:
|z 9789400749320
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|a Agent-Based Social Systems,
|x 1861-0803 ;
|v 9
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|u https://doi.org/10.1007/978-94-007-4933-7
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|a Computer Science (R0) (SpringerNature-43710)
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