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.
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