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Agent-Based Computational Modelling

Applications in Demography, Social, Economic and Environmental Sciences

  • Book
  • © 2006
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Overview

Editors:
  1. Francesco C. Billari

    1. Instituto di Metodi Quantitativi, Università Bocconi & IGIER, Milano, Italy

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  2. Thomas Fent

    1. Vienna Institute of Demography, Vienna, Austria

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  3. Alexia Prskawetz

    1. Vienna Institute of Demography, Vienna, Austria

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  4. Jürgen Scheffran

    1. ACDIS, University of Illinois, Champaign, USA

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Part of the book series: Contributions to Economics (CE)

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Table of contents (11 chapters)

  1. Front Matter

    Pages I-X
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  2. Microsimulation of household cycles

    1. Agent-Based Computational Modelling: An Introduction

      • Francesco C. Billari, Thomas Fent, Alexia Prskawetz, Jürgen Scheffran
      Pages 1-16
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  5. Ecology and Environment

    1. Agent-Based Models in Ecology: Patterns and Alternative Theories of Adaptive Behaviour

      • Volker Grimm, Steven F. Railsback
      Pages 139-152
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    2. Agent-Based Modelling of Self-Organisation Processes to Support Adaptive Forest Management

      • Ernst Gebetsroither, Alexander Kaufmann, Ute Gigler, Andreas Resetarits
      Pages 153-172
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    3. Vampire Bats & The Micro-Macro Link

      • Rosaria Conte, Mario Paolucci, Gennaro Di Tosto
      Pages 173-194
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  7. Back Matter

    Pages 225-226
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Keywords

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.

Reviews

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)

Editors and Affiliations

  • Instituto di Metodi Quantitativi, Università Bocconi & IGIER, Milano, Italy

    Francesco C. Billari

  • Vienna Institute of Demography, Vienna, Austria

    Thomas Fent, Alexia Prskawetz

  • ACDIS, University of Illinois, Champaign, USA

    Jürgen Scheffran

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