Agent based Spatial Simulation with NetLogo Volume 2 1st edition by Arnaud Banos, Christophe Lang, Nicolas Marilleau 0081010648 9780081010648

Agent based Spatial Simulation with NetLogo Volume 2 1st edition by Arnaud Banos, Christophe Lang, Nicolas Marilleau – Ebook PDF Instant Download/DeliveryISBN:  0081010648, 9780081010648 

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Product details:

ISBN-10 :  0081010648 

ISBN-13 :  9780081010648

Author : Arnaud Banos, Christophe Lang, Nicolas Marilleau 

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.

 

Agent based Spatial Simulation with NetLogo Volume 2 Table of contents:

1: NetLogo, an Open Simulation Environment
Abstract
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
Abstract
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 Coupling
Abstract
3.1 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
Abstract
4.1 Networking
4.2 Networks and graphs in NetLogo
4.2.2 Search for the largest connected component
4.2.3 Searching for the shortest path
4.2.4 Modularity metric
4.2.5 Communities
5: Swarm Problem-Solving
Abstract
5.1 Introduction
5.2 Collective approaches
5.3 Collective sorting
5.4 From food sourcing to finding the shortest path
5.5 The intentions of a swarm
5.6 Conclusion
6: Exploring Complex Models in NetLogo
Abstract
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

 

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Tags: Agent based, Spatial Simulation, NetLogo Volume, Arnaud Banos, Christophe Lang, Nicolas Marilleau