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. Sengupta, Pratim; Wilensky, Uri: Learning electricity with NIELS: thinking with electrons and thinking in levels (2009) MathEduc
  2. Subagdja, Budhitama; Sonenberg, Liz; Rahwan, Iyad: Intentional learning agent architecture (2009) ioport
  3. Zhao, Huanyu; Li, Xiaolin: H-trust: a group trust management system for peer-to-peer desktop grid (2009) ioport
  4. Andersson, Mattias; Gudmundsson, Joachim; Laube, Patrick; Wolle, Thomas: Reporting leaders and followers among trajectories of moving point objects (2008) ioport
  5. Damaceanu, Romulus-Catalin: An agent-based computational study of wealth distribution in function of resource growth interval using NetLogo (2008)
  6. Hoyles, Celia; Noss, Richard: Next steps in implementing Kaput’s research programme (2008) MathEduc
  7. Kanarek, Andrew R.; Lamberson, Roland H.; Black, Jeffrey M.: An individual-based model for traditional foraging behavior: Investigating effects of environmental fluctuation (2008)
  8. Kejžar, Nataša; Nikoloski, Zoran; Batagelj, Vladimir: Probabilistic inductive classes of graphs (2008)
  9. Nan, Ning; Johnston, Erik W.; Olson, Judith S.: Unintended consequences of collocation: using agent-based modeling to untangle effects of communication delay and in-group favor (2008)
  10. Reiter, Stanley; Maroulis, Spiro: Stable processes of exchange (2008)
  11. Schmickl, Thomas; Crailsheim, Karl: Trophallaxis within a robotic swarm: Bio-inspired communication among robots in a swarm. (2008) ioport
  12. Abrahamson, Dor; Wilensky, Uri: Learning axes and bridging tools in a technology-based design for statistics (2007) MathEduc
  13. Chmura, Thorsten; Kaiser, Johannes; Pitz, Thomas: Simulating complex social behaviour with the genetic action tree kernel (2007)
  14. Marks, Robert Ernest: Validating simulation models: a general framework and four applied examples (2007)
  15. Abrahamson, Dor: The shape of things to come: the computational pictograph as a bridge from combinatorial space to outcome distribution (2006) MathEduc
  16. Morey, Jim: Programming in polygon r&d: explorations with a spatial language II (2006) MathEduc

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