Whereas Volume 1 introduced the NetLogo platform as a means of prototyping simple models, this second volume focuses on the advanced use of NetLogo to connect both data and theories, making it ideal for the majority of scientific communities.
The authors focus on agent-based modeling of spatialized phenomena with a methodological and practical orientation, demonstrating how advanced agent-based spatial simulation methods and technics can be implemented.
This book provides theoretical and conceptual backgrounds, as well as algorithmic and technical insights, including code and applets, so that readers can test and re-use most of its content.
- Illustrates advanced concepts and methods in agent-based spatial simulation
- Features practical examples developed, and commented on, in a unique platform
- Provides theoretical and conceptual backgrounds, as well as algorithmic and technical insights, including code and applets, so that readers can test and re-use most of its content
1: NetLogo, an Open Simulation Environment
2: Multiscale Modeling: Application to Traffic Flow
3: Macro Models, Micro Models and Network-based Coupling
4: Networking, Networks and Dynamic Graphs
5: Swarm Problem-Solving
6: Exploring Complex Models in NetLogo
Arnaud Banos is CNRS research director and head of the UMR Géographie-cités (CNRS -Panthéon-Sorbonne University - Paris Diderot University, France). As a geographer, he favors an interdisciplinary approach to complex spatial systems.
Christophe Lang is Associate Professor of Computer Science at the University of Franche-Comté in France, within the FEMTO-ST, UMR 6174 laboratory. He conducts research in the field of distributed systems and more specifically in the field of multi-agent systems.
Nicolas Marilleau is a research engineer at UMI 209 UMMSICO of the Institut de Recherche pour le Développement in France. He conducts research in the field of modeling-simulation agents for complex systems, which he applies to real problems together with researchers in other disciplines.