Agent-Based Spatial Simulation with NetLogo Volume 1

Nonfiction, Computers, Programming, Programming Languages, General Computing
Cover of the book Agent-Based Spatial Simulation with NetLogo Volume 1 by Arnaud Banos, Christophe Lang, Nicolas Marilleau, Elsevier Science
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Author: Arnaud Banos, Christophe Lang, Nicolas Marilleau ISBN: 9780081007235
Publisher: Elsevier Science Publication: August 26, 2015
Imprint: ISTE Press - Elsevier Language: English
Author: Arnaud Banos, Christophe Lang, Nicolas Marilleau
ISBN: 9780081007235
Publisher: Elsevier Science
Publication: August 26, 2015
Imprint: ISTE Press - Elsevier
Language: English

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.

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

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