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Netlogo

  • Tim Gooding
Chapter

Abstract

Netlogo is the most common language used to introduce students to multi-agent models. It was designed by academics as a teaching and research tool. While some experienced academics consider Netlogo much like a bicycle with its training wheels still attached, Netlogo offers the advantage of allowing anyone with a personal computer to run and modify these models. This chapter offers a brief overview of how Netlogo works in order to understand the experiments later in the book.

Keywords

Netlogo Agent-based modelling User manual Download link Patches Agents Random number generator Netlogo charts 

References

  1. Caiani, A., Godin, A., Caverzasi, E., Gallegati, M., Kinsella, S., & Stiglitz, J. E. (2016). Agent based-stock flow consistent macroeconomics: Towards a benchmark model. Journal of Economic Dynamics and Control, 69, 375–408.CrossRefGoogle Scholar
  2. Luke, S. (2010). The ECJ owner’s manual. San Francisco, California, A User Manual for the ECJ Evolutionary Computation Library, 1–206.Google Scholar
  3. Matsumoto, M., & Nishimura, T. (1998). Mersenne twister: A 623-dimensionally equidistributed uniform pseudo-random number generator. ACM Transactions on Modeling and Computer Simulation (TOMACS), 8(1), 3–30.CrossRefGoogle Scholar
  4. RobbyGA. (n.d.). “Robby the robot genetic algorithms” model, complexity explorer project. http://complexityexplorer.org.
  5. Wilensky, U. (1999). Netlogo. Evanston, IL: Center for Connected Learning and Computer-Based Modeling, Northwestern University. http://ccl.northwestern.edu/Netlogo/.

Copyright information

© The Author(s) 2019

Authors and Affiliations

  • Tim Gooding
    • 1
  1. 1.Kingston UniversityKingston upon ThamesUK

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