Agent-based spatial simulation with NetLogo. / Volume 1, Introduction and bases

✍ Scribed by Banos, Arnaud; Lang, Christophe; Marilleau, Nicolas

• Publisher: ISTE Press - Elsevier
• Year: 2015
• Tongue: English
• Leaves: 267
• Edition: 1
• Category: Library

✦ Synopsis

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

✦ Table of Contents

Content:
Front matter,CopyrightEntitled to full text1 - Introduction to the Agent Approach, Pages 1-28
2 - Description Formalisms in Agent Models, Pages 29-73
3 - Introduction to NetLogo, Pages 75-123
4 - Agent-Based Model Exploration, Pages 125-181
5 - Dynamical Systems with NetLogo, Pages 183-221
6 - How to Involve Stakeholders in the Modeling Process, Pages 223-252
Bibliography, Pages 253-264
List of Authors, Pages 265-266
Index, Pages 267-268