Agent-Based Modelling of Socio-Technical Systems [electronic resource] / edited by Koen H. van Dam, Igor Nikolic, Zofia Lukszo.

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.

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.