Agent-based spatial simulation with NetLogo. 2, Advanced concepts / edited by Arnaud Banos, Christophe Lang, Nicolas Marilleau.

Includes bibliographical references and index.

Online resource, title from PDF title page (EBSCO, viewed January 28, 2017).

Front Cover ; Agent-based Spatial Simulation with NetLogo 2: Advanced Concepts ; Copyright; Contents; Introduction; 1. NetLogo, an Open Simulation Environment; 1.1. Introduction to extensions in NetLogo; 1.2. Designing and developing extensions; 1.3. Using NetLogo from other platforms; 1.4. Deploying NetLogo models online; 1.5. Conclusion; 2. Multiscale Modeling: Application to Traffic Flow ; 2.1. Introduction; 2.2. Two agent-based models: NaSch and Underwood; 2.3. An equation-based LWR model; 2.4. Hybrid traffic model; 2.5. Conclusion and outlook.

3. Macro Models, Micro Models and Network-based Coupling3.1. Introduction; 3.2. Description of the equation-based SIR model; 3.3. Equation-based and agent-based propagation model: EpiSim; 3.4. Coupling SIR models based on networks; 3.5. SIR coupling without scaling: Metapop model; 3.6. SIR coupling with scaling: MicMac model; 3.7. Conclusion and outlook; 4. Networking, Networks and Dynamic Graphs; 4.1. Networking; 4.2. Networks and graphs in NetLogo; 5. Swarm Problem-Solving; 5.1. Introduction; 5.2. Collective approaches; 5.3. Collective sorting.

5.4. From food sourcing to finding the shortest path5.5. The intentions of a swarm; 5.6. Conclusion; 6. Exploring Complex Models in NetLogo; 6.1. Introduction; 6.2. Complex models and simulators; 6.3. Using NetLogo with OpenMOLE; 6.4. Analysis and interpretation of results; 6.5. Conclusion; Conclusion; Bibliography; List of Authors; Index; Back Cover.