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Agent-Based Modelling of Socio-Technical Systems

  • Koen H. van Dam
  • Igor Nikolic
  • Zofia Lukszo

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

Table of contents

  1. Front Matter
    Pages I-XXVII
  2. Theory and Practice

    1. Front Matter
      Pages 9-9
    2. G. P. J. Dijkema, Z. Lukszo, M. P. C. Weijnen
      Pages 1-8
    3. I. Nikolic, J. Kasmire
      Pages 11-71
    4. I. Nikolic, K. H. van Dam, J. Kasmire
      Pages 73-137
  3. Case Studies

    1. Front Matter
      Pages 139-139
    2. K. H. van Dam, I. Nikolic, Z. Lukszo
      Pages 141-149
    3. B. Behdani, K. H. van Dam, Z. Lukszo
      Pages 151-180
    4. E. J. L. Chappin, M. R. Afman
      Pages 181-200
    5. E. J. L. Chappin, G. P. J. Dijkema
      Pages 201-219
    6. L. A. Bollinger, C. B. Davis, I. Nikolic
      Pages 221-243
    7. A. Chmieliauskas, C. B. Davis, L. A. Bollinger
      Pages 245-263
  4. Back Matter
    Pages 265-267

About this book

Introduction

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.

Keywords

agent-based modelling decision support infrastructures decision support ontology socio-technical system

Editors and affiliations

  • Koen H. van Dam
    • 1
  • Igor Nikolic
    • 2
  • Zofia Lukszo
    • 3
  1. 1.Faculty Technology, Policy & ManagementDelft University of TechnologyDelftNetherlands
  2. 2.Faculty Technology, Policy & ManagementDelft University of TechnologyDelftNetherlands
  3. 3.Faculty Technology, Policy & ManagementDelft University of TechnologyDelftNetherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-007-4933-7
  • Copyright Information Springer Science+Business Media Dordrecht 2013
  • Publisher Name Springer, Dordrecht
  • eBook Packages Computer Science
  • Print ISBN 978-94-007-4932-0
  • Online ISBN 978-94-007-4933-7
  • Series Print ISSN 1861-0803
  • Buy this book on publisher's site
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