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. Andrianakis, Ioannis; McCreesh, Nicky; Vernon, Ian; McKinley, Trevelyan J.; Oakley, Jeremy E.; Nsubuga, Rebecca N.; Goldstein, Michael; White, Richard G.: Efficient history matching of a high dimensional individual-based HIV transmission model (2017)
  2. Castro, Mario; Lythe, Grant; Molina-París, Carmen: The T cells in an ageing virtual mouse (2017)
  3. Dougherty, Francis L.; Ambler, Nathaniel P.; Triantis, Konstantinos P.: A complex adaptive systems approach for productive efficiency analysis: building blocks and associative inferences (2017)
  4. Galán, Severino F.: Simple decentralized graph coloring (2017)
  5. Jalalimanesh, Ammar; Shahabi Haghighi, Hamidreza; Ahmadi, Abbas; Soltani, Madjid: Simulation-based optimization of radiotherapy: agent-based modeling and reinforcement learning (2017)
  6. Kuznetsov, A. V.: A simplified combat model based on a cellular automaton (2017)
  7. Ponte, Borja; Sierra, Enrique; de la Fuente, David; Lozano, Jesús: Exploring the interaction of inventory policies across the supply chain: an agent-based approach (2017)
  8. Smaldino, Paul E.; Janssen, Marco A.; Hillis, Vicken; Bednar, Jenna: Adoption as a social marker: innovation diffusion with outgroup aversion (2017)
  9. Farjam, Mike; Mill, Wladislaw; Panganiban, Marian: Ignorance is bliss, but for whom? The persistent effect of good will on cooperation (2016)
  10. Keane, Christopher: Chaos in collective health: fractal dynamics of social learning (2016)
  11. Kimbrough, Steven Orla; Lau, Hoong Chuin: Business analytics for decision making (2016)
  12. Lenhart, Suzanne; Xiong, Jie; Yong, Jiongmin: Optimal controls for stochastic partial differential equations with an application in population modeling (2016)
  13. P. Degenne, D. Lo Seen: Ocelet: Simulating processes of landscape changes using interaction graphs (2016) not zbMATH
  14. Thomas, Spencer A.; Lloyd, David J. B.; Skeldon, Anne C.: Equation-free analysis of agent-based models and systematic parameter determination (2016)
  15. An, Gary; Kulkarni, Swati: An agent-based modeling framework linking inflammation and cancer using evolutionary principles: description of a generative hierarchy for the hallmarks of cancer and developing a bridge between mechanism and epidemiological data (2015)
  16. Day, Judy D.; LeGrand, E. K.: Synergy of local, regional, and systemic non-specific stressors for host defense against pathogens (2015)
  17. Foo, Jasmine; Haskell, Cymra; Komarova, Natalia L.; Segal, Rebecca A.; Wood, Karen E.: Modeling sympatric speciation in quasiperiodic environments (2015)
  18. Hoyles, Celia; Noss, Richard: A computational lens on design research (2015) MathEduc
  19. Kareva, Irina: Immune evasion through competitive inhibition: the shielding effect of cancer non-stem cells (2015)
  20. Monk, Travis; Paulin, Michael G.; Green, Peter: Ecological constraints on the origin of neurones (2015)

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