© 2006

Agent-Based Computational Modelling

Applications in Demography, Social, Economic and Environmental Sciences

  • Francesco C. Billari
  • Thomas Fent
  • Alexia Prskawetz
  • Jürgen Scheffran

Part of the Contributions to Economics book series (CE)

Table of contents

  1. Front Matter
    Pages I-X
  2. Microsimulation of household cycles

    1. Francesco C. Billari, Thomas Fent, Alexia Prskawetz, Jürgen Scheffran
      Pages 1-16
  3. Socio-Economics

  4. Population and Demography

  5. Ecology and Environment

    1. Ernst Gebetsroither, Alexander Kaufmann, Ute Gigler, Andreas Resetarits
      Pages 153-172
    2. Rosaria Conte, Mario Paolucci, Gennaro Di Tosto
      Pages 173-194
  6. General Aspects

  7. Back Matter
    Pages 225-226

About this book


The present book describes the methodology to set up agent-based models and to study emerging patterns in complex adaptive systems resulting from multi-agent interaction. It offers the application of agent-based models in demography, social and economic sciences and environmental sciences. Examples include population dynamics, evolution of social norms, communication structures, patterns in eco-systems and socio-biology, natural resource management, spread of diseases and development processes. It presents and combines different approaches how to implement agent-based computational models and tools in an integrative manner that can be extended to other cases.


Demography Simulation agent-based computational modelling applications development ecology environmental, social and economic studies model multi-agent interaction organization

Editors and affiliations

  • Francesco C. Billari
    • 1
  • Thomas Fent
    • 2
  • Alexia Prskawetz
    • 2
  • Jürgen Scheffran
    • 3
  1. 1.Instituto di Metodi QuantitativiUniversità Bocconi & IGIERMilanoItaly
  2. 2.Vienna Institute of DemographyViennaAustria
  3. 3.ACDISUniversity of IllinoisChampaignUSA

Bibliographic information


From the reviews:

"Presenting and combining different approaches, the aim of the book is to describe the motivation for setting-up agent-based models and for studying emerging patterns in complex adaptive systems. … is well written and contains much useful information for scholars not familiar with agent-based modelling." (Petra Ahrweiler, Journal of Artificial Societies and Social Simulation, April, 2007)