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Agent Based Literature
Here is some literature about the Agent Based Modelling approach.
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Introduction to ABM: Railsback, S. F., & Grimm, V. (2012). Agent-based and individual-based modeling: a practical introduction. Princeton university press.
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ABM in Geo Spatial Simulation: Crooks, A., Castle, C., & Batty, M. (2008). Key challenges in agent-based modelling for geo-spatial simulation. Computers, Environment and Urban Systems, 32(6), 417-430. https://www.gisagents.org/
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Agent Based Visualization: Grignard, A., & Drogoul, A. (2017). Agent-Based Visualization: A Real-Time Visualization Tool Applied Both to Data and Simulation Outputs
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Gama Platform: Grignard, A., Taillandier, P., Gaudou, B., Vo, D. A., Huynh, N. Q., & Drogoul, A. (2013, December). GAMA 1.6: Advancing the art of complex agent-based modeling and simulation. In International Conference on Principles and Practice of Multi-Agent Systems (pp. 117-131). Springer, Berlin, Heidelberg.
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Methodlogy to build an ABM: Rixon, A., Moglia, M., & Burn, S. (2005, March). Bottom-up approaches to building agent-based models: discussing the need for a platform. In Proceedings of the Joint Conference on Multi-Agent Modelling for Environmental Management.
"When researchers want to study a particular phenomenon, they have several strategies. They can collect data on this phenomenon and study it using statistical tools, they can conduct experiments, and finally they can create an artificial reproduction of the phenomenon using a simulation. ABM is a simulation technique that represents explicit entities and behaviors in a program (Railsback and Grimm 2011). Agent-based models are composed of autonomous entities, called agents, operating in an environment interacting and organizing themselves (Treuil, Drogoul, and Zucker 2008). Such agents have attributes, behaviors, and capabilities of perception and communication. These agents might represent a multitude of phenomena ranging from the particle and cell to individuals or groups. ABM are characterized by their complexity, their dynamic, heterogeneous and multiscale" from Grignard, A., & Drogoul, A. (2017). Agent-Based Visualization: A Real-Time Visualization Tool Applied Both to Data and Simulation Outputs.
