Agent-Based Modelling of Socio-Technical Systems [electronic resource] /
van Dam, Koen H.editor.
Nikolic, Igor.editor.
Lukszo, Zofia.editor.
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.
Description based upon print version of record.
Includes bibliographical references and index.
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.
Computer simulation.
Computational complexity.
Computational intelligence.
Social sciences.
Business.
Management science.
Energy systems.
Simulation and Modeling.
Complexity.
Computational Intelligence.
Social Sciences, general.
Business and Management, general.
Energy Systems.