Agent-Based Modelling of Socio-Technical Systems
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.
ISBN: | 9789401782685 |
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Sprache: | Englisch |
Seitenzahl: | 268 |
Produktart: | Kartoniert / Broschiert |
Herausgeber: | Lukszo, Zofia Nikolic, Igor van Dam, Koen H. |
Verlag: | Springer Netherland |
Veröffentlicht: | 09.11.2014 |
Schlagworte: | agent-based modelling complexity decision support infrastructures decision support ontology socio-technical system |
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