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Agent-Based Modelling of Socio-Technical SystemsOctober 2012
Publisher:
  • Springer Publishing Company, Incorporated
ISBN:978-94-007-4932-0
Published:09 October 2012
Pages:
294
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Abstract

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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  3. Lippe M, Bithell M, Gotts N, Natalini D, Barbrook-Johnson P, Giupponi C, Hallier M, Hofstede G, Page C, Matthews R, Schlüter M, Smith P, Teglio A and Thellmann K (2019). Using agent-based modelling to simulate social-ecological systems across scales, Geoinformatica, 23:2, (269-298), Online publication date: 1-Apr-2019.
  4. Tantri F, Amir S and Montoya F (2019). Modeling a Simulation for Sociotechnical Resilience, Complexity, 2019, Online publication date: 1-Jan-2019.
  5. Alyousef A, Adepetu A and Meer H (2017). Analysis and model-based predictions of solar PV and battery adoption in Germany, Computer Science - Research and Development, 32:1-2, (211-223), Online publication date: 1-Mar-2017.
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  11. Blyth A Role Logic and its Application to the Analysis of Process Control Systems from the Socio-Technical System Perspective Proceedings of the 1st International Symposium on ICS & SCADA Cyber Security Research 2013, (42-47)
Contributors
  • Imperial College London
  • European University Institute, San Domenico di Fiesole
  • Delft University of Technology

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