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Agent-Based Modelling of Socio-Technical Systems

  • Book
  • © 2013

Overview

  • Gives a practical introduction to agent-based modelling of socio-technical systems, such as infrastructures
  • Includes practical suggestions and procedures based on years of modelling experience
  • Provides numerous examples in various (infrastructure) domains which take the reader through the development process and can inspire new applications
  • Includes supplementary material: sn.pub/extras

Part of the book series: Agent-Based Social Systems (ABSS, volume 9)

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Table of contents (9 chapters)

  1. Theory and Practice

  2. Case Studies

Keywords

About this book

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.

Reviews

From the reviews:

“Six case studies are presented using the methodology. This is ideal, especially for students to see the process applied to different models in a coherent manner. Graduate students would be able to begin designing a model after reading. … this is a very useful book for those developing (and teaching) agent-based modelling of socio-technical systems and is a step towards developing more useful models for decision-makers.” (Nicole Ronald, Journal of Artificial Societies and Social Simulation, April, 2013)

Editors and Affiliations

  • Faculty Technology, Policy & Management, Delft University of Technology, Delft, Netherlands

    Koen H. Dam, Igor Nikolic, Zofia Lukszo

Bibliographic Information

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