NetLogo, a Multi-agent Simulation Environment. NetLogo [Wilensky, 1999] is a multi-agent programming language and modeling environment for simulating complex phenomena. It is designed for both research and education and is used across a wide range of disciplines and education levels. In this paper we focus on NetLogo as a tool for research and for teaching at the undergraduate level and higher. We outline the principles behind our design and describe recent and planned enhancements

References in zbMATH (referenced in 116 articles )

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  1. Oremland, Matthew; Laubenbacher, Reinhard: Optimal harvesting for a predator-prey agent-based model using difference equations (2015)
  2. Salgado, Mauricio: The evolution of paternal care can lead to population growth in artificial societies (2015)
  3. Trenchard, Hugh: The peloton superorganism and protocooperative behavior (2015)
  4. Berland, Matthew; Baker, Ryan S.; Blikstein, Paulo: Educational data mining and learning analytics: applications to constructionist research (2014) ioport
  5. Campennì, Marco; Schino, Gabriele: Partner choice promotes cooperation: the two faces of testing with agent-based models (2014)
  6. Dong, Mianxiong; Ota, Kaoru; Li, He; Du, Suguo; Zhu, Haojin; Guo, Song: RENDEZVOUS: towards fast event detecting in wireless sensor and actor networks (2014) ioport
  7. Jiang, Guoyin; Ma, Feicheng; Shang, Jennifer; Chau, Patrick Y. K.: Evolution of knowledge sharing behavior in social commerce: an agent-based computational approach (2014)
  8. Lai, Kevin; White, Tobin: How groups cooperate in a networked geometry learning environment (2014) MathEduc
  9. Lipinski-Paes, Thiago; de Souza, Osmar Norberto: MASTERS: a general sequence-based multiagent system for protein tertiary structure prediction (2014) ioport
  10. Moein, Sara; Logeswaran, Rajasvaran: KGMO: a swarm optimization algorithm based on the kinetic energy of gas molecules (2014) ioport
  11. Moreno Arboleda, Francisco Javier; Guzmán Luna, Jaime Alberto; Gomez Arias, Sebastian Alonso: Identification of V-formations and circular and doughnut formations in a set of moving entities with outliers (2014)
  12. Patil, Akshay P.; Dongre, Alpana R.: Emergent properties of the public realm and encroachments in the urban environment (2014) ioport
  13. Wang, Pei; Tian, Chengeng; Lu, Jun-An: Identifying influential spreaders in artificial complex networks (2014)
  14. Wilkerson-Jerde, Michelle Hoda: Construction, categorization, and consensus: student generated computational artifacts as a context for disciplinary reflection (2014) MathEduc
  15. Zhang, Honghai; Xu, Yan; Yang, Lei; Liu, Hao: Macroscopic model and simulation analysis of air traffic flow in airport terminal area (2014)
  16. Brady, Corey; White, Tobin; Davis, Sarah; Hegedus, Stephen: SimCalc and the networked classroom (2013) MathEduc
  17. Grüter, Christoph; Schürch, Roger; Farina, Walter M.: Task-partitioning in insect societies: non-random direct material transfers affect both colony efficiency and information flow (2013)
  18. Janošek, Michal; Kocian, Václav; Volná, Eva: Complex system simulation parameters settings methodology (2013) ioport
  19. Pape, Andreas Duus; Kurtz, Kenneth J.: Evaluating case-based decision theory: predicting empirical patterns of human classification learning (2013)
  20. Stradner, Jürgen; Thenius, Ronald; Zahadat, Payam; Hamann, Heiko; Crailsheim, Karl; Schmickl, Thomas: Algorithmic requirements for swarm intelligence in differently coupled collective systems (2013)

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