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. Arroyo-Esquivel, Jorge; Sanchez, Fabio; Barboza, Luis A.: Infection model for analyzing biological control of coffee rust using bacterial anti-fungal compounds (2019)
  2. Brailsford, Sally C.; Eldabi, Tillal; Kunc, Martin; Mustafee, Navonil; Osorio, Andres F.: Hybrid simulation modelling in operational research: a state-of-the-art review (2019)
  3. Herrera-Restrepo, Oscar; Triantis, Konstantinos: Enterprise design through complex adaptive systems and efficiency measurement (2019)
  4. Izquierdo, Luis R.; Izquierdo, Segismundo S.; Sandholm, William H.: An introduction to \textitABED: agent-based simulation of evolutionary game dynamics (2019)
  5. Kaper, Hans G.; Engler, Hans: Modeling food systems (2019)
  6. Kostylenko, Olena; Rodrigues, Helena Sofia; Torres, Delfim F. M.: The spread of a financial virus through Europe and beyond (2019)
  7. Kraaijer, Rutger; van Kreveld, Marc; Meulemans, Wouter; van Renssen, André: Geometry and generation of a new graph planarity game (2019)
  8. Premo, L. S.; Brown, Justin R.: The opportunity cost of walking away in the spatial iterated prisoner’s dilemma (2019)
  9. Ramírez-Ávila, Gonzalo Marcelo; Kurths, Jürgen; Depickère, Stéphanie; Deneubourg, Jean-Louis: Modeling fireflies synchronization (2019)
  10. Sean A. Fulop, Hannah Scott: Vowel System Sandbox: Complex System Modelling of Language Change (2019) not zbMATH
  11. Sheraton, M. V.; Melnikov, V. R.; Sloot, P. M. A.: Prediction and quantification of bacterial biofilm detachment using Glazier-Graner-Hogeweg method based model simulations (2019)
  12. Trenchard, Hugh: Cell pelotons: a model of early evolutionary cell sorting, with application to slime mold \textitDictyosteliumdiscoideum (2019)
  13. Yavaş, Mustafa: Dissecting income segregation: impacts of concentrated affluence on segregation of poverty (2019)
  14. Barmpalias, George; Elwes, Richard; Lewis-Pye, Andrew: Minority population in the one-dimensional Schelling model of segregation (2018)
  15. Cronin, Adam L.: An agent-based model of nest-site selection in a mass-recruiting ant (2018)
  16. Falletta, J.; Woodcock, S.: A simulation study of Texas hold ’em poker: what Taylor Swift understands and James bond doesn’t (2018)
  17. Hinze, Thomas: The Java environment for nature-inspired approaches (JENA): a workbench for biocomputing and biomodelling enthusiasts (2018)
  18. Monk, Travis: Martingales and the fixation probability of high-dimensional evolutionary graphs (2018)
  19. Ramírez-Ávila, G. M.; Kurths, Jürgen; Deneubourg, J. L.: Fireflies: a paradigm in synchronization (2018)
  20. Zschache, Johannes: Melioration learning in iterated public goods games: the impact of exploratory noise (2018)

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