Ebook: Agent-Based Modelling of Socio-Technical Systems
Author: G. P. J. Dijkema Z. Lukszo M. P. C. Weijnen (auth.) Koen H. van Dam Igor Nikolic Zofia Lukszo (eds.)
- Tags: Simulation and Modeling, Complexity, Computational Intelligence, Social Sciences general, Economics/Management Science general, Energy Technology
- Series: Agent-Based Social Systems 9
- Year: 2013
- Publisher: Springer Netherlands
- Edition: 1
- Language: English
- pdf
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 TU Delft 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.
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.
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.
Content:
Front Matter....Pages I-XXVII
Front Matter....Pages 9-9
Introduction....Pages 1-8
Theory....Pages 11-71
Practice....Pages 73-137
Front Matter....Pages 139-139
Introduction to the Case Studies....Pages 141-149
Agent-Based Models of Supply Chains....Pages 151-180
An Agent-Based Model of Consumer Lighting....Pages 181-200
An Agent-Based Model of CO2 Policies and Electricity Generation....Pages 201-219
An Agent-Based Model of a Mobile Phone Production, Consumption and Recycling Network....Pages 221-243
Next Steps in Modelling Socio-technical Systems: Towards Collaborative Modelling....Pages 245-263
Back Matter....Pages 265-267
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.
Content:
Front Matter....Pages I-XXVII
Front Matter....Pages 9-9
Introduction....Pages 1-8
Theory....Pages 11-71
Practice....Pages 73-137
Front Matter....Pages 139-139
Introduction to the Case Studies....Pages 141-149
Agent-Based Models of Supply Chains....Pages 151-180
An Agent-Based Model of Consumer Lighting....Pages 181-200
An Agent-Based Model of CO2 Policies and Electricity Generation....Pages 201-219
An Agent-Based Model of a Mobile Phone Production, Consumption and Recycling Network....Pages 221-243
Next Steps in Modelling Socio-technical Systems: Towards Collaborative Modelling....Pages 245-263
Back Matter....Pages 265-267
....