Cover for Agent-based Spatial Simulation with Netlogo

Agent-based Spatial Simulation with Netlogo

Volume 1: Introduction and Bases

Book2015

Edited by:

Arnaud Banos, Christophe Lang and Nicolas Marilleau

Agent-based Spatial Simulation with Netlogo

Volume 1: Introduction and Bases

Book2015

 

Cover for Agent-based Spatial Simulation with Netlogo

Edited by:

Arnaud Banos, Christophe Lang and Nicolas Marilleau

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Book description

Agent-based modeling is a flexible and intuitive approach that is close to both data and theories, which gives it a special position in the majority of scientific communities. Agen ... read full description

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Table of contents

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  2. Book chapterAbstract only

    1 - Introduction to the Agent Approach

    Fabrice Bouquet, Sébastien Chipeaux, ... Patrick Taillandier

    Pages 1-28

  3. Book chapterAbstract only

    2 - Description Formalisms in Agent Models

    Fabrice Bouquet, David Sheeren, ... Claude Monteil

    Pages 29-73

  4. Book chapterAbstract only

    3 - Introduction to NetLogo

    Frédéric Amblard, Eric Daudé, ... Patrick Taillandier

    Pages 75-123

  5. Book chapterAbstract only

    4 - Agent-Based Model Exploration

    Arnaud Banos, Philippe Caillou, ... Nicolas Marilleau

    Pages 125-181

  6. Book chapterAbstract only

    5 - Dynamical Systems with NetLogo

    Nathalie Corson and Damien Olivier

    Pages 183-221

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    6 - How to Involve Stakeholders in the Modeling Process

    Nicolas Becu, Frédéric Amblard, ... Nicolas Marilleau

    Pages 223-252

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    Bibliography

    Pages 253-264

  9. Book chapterNo access

    List of Authors

    Frédéric Amblard, Arnaud Banos, ... Patrick Taillandier

    Pages 265-266

  10. Book chapterNo access

    Index

    Pages 267-268

About the book

Description

Agent-based modeling is a flexible and intuitive approach that is close to both data and theories, which gives it a special position in the majority of scientific communities. Agent models are as much tools of understanding, exploration and adaptation as they are media for interdisciplinary exchange. It is in this kind of framework that this book is situated, beginning with agent-based modeling of spatialized phenomena with a methodological and practical orientation.

Through a governing example, taking inspiration from a real problem in epidemiology, this book proposes, with pedagogy and economy, a guide to good practices of agent modeling. The reader will thus be able to understand and put the modeling into practice and acquire a certain amount of autonomy.

Agent-based modeling is a flexible and intuitive approach that is close to both data and theories, which gives it a special position in the majority of scientific communities. Agent models are as much tools of understanding, exploration and adaptation as they are media for interdisciplinary exchange. It is in this kind of framework that this book is situated, beginning with agent-based modeling of spatialized phenomena with a methodological and practical orientation.

Through a governing example, taking inspiration from a real problem in epidemiology, this book proposes, with pedagogy and economy, a guide to good practices of agent modeling. The reader will thus be able to understand and put the modeling into practice and acquire a certain amount of autonomy.

Key Features

  • Featuring the following well-known techniques and tools: Modeling, such as UML, Simulation, such as the NetLogo platform, Exploration methods, Adaptation using participative simulation
  • Featuring the following well-known techniques and tools: Modeling, such as UML, Simulation, such as the NetLogo platform, Exploration methods, Adaptation using participative simulation

Details

ISBN

978-1-78548-055-3

Language

English

Published

2015

Copyright

Copyright © 2015 Elsevier Ltd. All rights reserved.

Imprint

ISTE Press - Elsevier

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Editors

Arnaud Banos

Christophe Lang

Nicolas Marilleau