Empirical Agent-Based Modelling - Challenges and Solutions

Volume 1, The Characterisation and Parameterisation of Empirical Agent-Based Models

Editors: Smajgl, Alexander, Barreteau, Olivier (Eds.)

  • First comprehensive guidebook for the parameterisation and characterisation of empirical agent-based modelling
  • This book distinguishes specific modelling situations and provides for each situation a clear sequence of steps
  • Includes contributions from such well-known academics and ABM experts as Andreas Ernst, Marco Janssen, and Armando Geller 
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  • ISBN 978-1-4614-6134-0
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  • Immediate eBook download after purchase
Hardcover $109.00
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  • ISBN 978-1-4614-6133-3
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  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
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  • ISBN 978-1-4939-5252-6
  • Free shipping for individuals worldwide
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About this book

This instructional book showcases techniques to parameterise human agents in empirical agent-based models (ABM). In doing so, it provides a timely overview of key ABM methodologies and the most innovative approaches through a variety of empirical applications.  It features cutting-edge research from leading academics and practitioners, and will provide a guide for characterising and parameterising human agents in empirical ABM.  In order to facilitate learning, this text shares the valuable experiences of other modellers in particular modelling situations. Very little has been published in the area of empirical ABM, and this contributed volume will appeal to graduate-level students and researchers studying simulation modeling in economics, sociology, ecology, and trans-disciplinary studies, such as topics related to sustainability. In a similar vein to the instruction found in a cookbook, this text provides the empirical modeller with a set of 'recipes'  ready to be implemented.

Agent-based modeling (ABM) is a powerful, simulation-modeling technique that has seen a dramatic increase in real-world applications in recent years.  In ABM, a system is modeled as a collection of autonomous decision-making entities called “agents.” Each agent individually assesses its situation and makes decisions on the basis of a set of rules. Agents may execute various behaviors appropriate for the system they represent—for example, producing, consuming, or selling.  ABM is increasingly used for simulating real-world systems, such as natural resource use, transportation, public health, and conflict. Decision makers increasingly demand support that covers a multitude of indicators that can be effectively addressed using ABM. This is especially the case in situations where human behavior is identified as a critical element. As a result, ABM will only continue its rapid growth.

This is the first volume in a series of books that aims to contribute to a cultural change in the community of empirical agent-based modelling. This series will bring together representational experiences and solutions in empirical agent-based modelling. Creating a platform to exchange such experiences allows comparison of solutions and facilitates learning in the empirical agent-based modelling community. Ultimately, the community requires such exchange and learning to test approaches and, thereby, to develop a robust set of techniques within the domain of empirical agent-based modelling. Based on robust and defendable methods, agent-based modelling will become a critical tool for research agencies, decision making and decision supporting agencies, and funding agencies. This series will contribute to more robust and defendable empirical agent-based modelling.

About the authors

Alexander Smajgl works at CSIRO Ecosystem Sciences, Australia.  Olivier Barreteau is senior water scientist with Cemagref Montpellier.

Reviews

From the reviews:

“This book addresses this challenge by providing a comprehensive framework that helps modellers in the characterisation and parametrisation of agents … . a nice handbook both for newcomers and expert modellers. … it is a progress towards a greater standardisation of the procedures adopted in the model design and parametrisation.” (Giangiacomo Bravo, Journal of Artificial Societies and Social Simulation, Vol. 17 (2), 2014)


Table of contents (13 chapters)

  • Empiricism and Agent-Based Modelling

    Smajgl, Alex (et al.)

    Pages 1-26

  • A Case Study on Characterising and Parameterising an Agent-Based Integrated Model of Recreational Fishing and Coral Reef Ecosystem Dynamics

    Gao, Lei (et al.)

    Pages 27-38

  • An Agent-Based Model of Tourist Movements in New Zealand

    Doscher, C. (et al.)

    Pages 39-51

  • Human-Ecosystem Interaction in Large Ensemble-Models

    Gray, Randall (et al.)

    Pages 53-83

  • Using Spatially Explicit Marketing Data to Build Social Simulations

    Ernst, Andreas

    Pages 85-103

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-1-4614-6134-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-1-4614-6133-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • ISBN 978-1-4939-5252-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Empirical Agent-Based Modelling - Challenges and Solutions
Book Subtitle
Volume 1, The Characterisation and Parameterisation of Empirical Agent-Based Models
Editors
  • Alexander Smajgl
  • Olivier Barreteau
Copyright
2014
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4614-6134-0
DOI
10.1007/978-1-4614-6134-0
Hardcover ISBN
978-1-4614-6133-3
Softcover ISBN
978-1-4939-5252-6
Edition Number
1
Number of Pages
XIII, 249
Number of Illustrations and Tables
10 b/w illustrations, 20 illustrations in colour
Topics