NetLogo

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 100 articles )

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  1. Alamino, R. C.: An agent-based lattice model for the emergence of anti-microbial resistance (2020)
  2. Bañuelos, Selenne; Bush, Mathew; Martinez, Marco V.; Prieto-Langarica, Alicia: Undergraduate research in mathematical epidemiology (2020)
  3. Jani, Arpan: An extension of Schelling’s segregation model: modeling the impact of individuals’ intolerance in the presence of resource scarcity (2020)
  4. Lenhart, Suzanne; Tang, Xiao; Xiong, Jie; Yong, Jiong-min: Controlled stochastic partial differential equations for rabbits on a grassland (2020)
  5. Lukas Riedel; Benjamin Herdeanu; Harald Mack; Yunus Sevinchan; Julian Weninger: Utopia: A Comprehensive and Collaborative Modeling Framework for Complex and Evolving Systems (2020) not zbMATH
  6. Oldham, Matthew: Quantifying the concerns of Dimon and Buffett with data and computation (2020)
  7. Alfeo, Antonio L.; Cimino, Mario G. C. A.; Vaglini, Gigliola: Enhancing biologically inspired swarm behavior: metaheuristics to foster the optimization of UAVs coordination in target search (2019)
  8. Ali R. Vahdati: Agents.jl: agent-based modeling framework in Julia (2019) not zbMATH
  9. Arroyo-Esquivel, Jorge; Sanchez, Fabio; Barboza, Luis A.: Infection model for analyzing biological control of coffee rust using bacterial anti-fungal compounds (2019)
  10. 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)
  11. Herrera-Restrepo, Oscar; Triantis, Konstantinos: Enterprise design through complex adaptive systems and efficiency measurement (2019)
  12. Izquierdo, Luis R.; Izquierdo, Segismundo S.; Sandholm, William H.: An introduction to \textitABED: agent-based simulation of evolutionary game dynamics (2019)
  13. Kaper, Hans G.; Engler, Hans: Modeling food systems (2019)
  14. Kostylenko, Olena; Rodrigues, Helena Sofia; Torres, Delfim F. M.: The spread of a financial virus through Europe and beyond (2019)
  15. Kraaijer, Rutger; van Kreveld, Marc; Meulemans, Wouter; van Renssen, André: Geometry and generation of a new graph planarity game (2019)
  16. Premo, L. S.; Brown, Justin R.: The opportunity cost of walking away in the spatial iterated prisoner’s dilemma (2019)
  17. Ramírez-Ávila, Gonzalo Marcelo; Kurths, Jürgen; Depickère, Stéphanie; Deneubourg, Jean-Louis: Modeling fireflies synchronization (2019)
  18. Sean A. Fulop, Hannah Scott: Vowel System Sandbox: Complex System Modelling of Language Change (2019) not zbMATH
  19. 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)
  20. Trenchard, Hugh: Cell pelotons: a model of early evolutionary cell sorting, with application to slime mold \textitDictyosteliumdiscoideum (2019)

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Further publications can be found at: https://ccl.northwestern.edu/netlogo/references.shtml