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.
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References
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.
Luke, S. (2010). The ECJ owner’s manual. San Francisco, California, A User Manual for the ECJ Evolutionary Computation Library, 1–206.
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.
RobbyGA. (n.d.). “Robby the robot genetic algorithms” model, complexity explorer project. http://complexityexplorer.org.
Wilensky, U. (1999). Netlogo. Evanston, IL: Center for Connected Learning and Computer-Based Modeling, Northwestern University. http://ccl.northwestern.edu/Netlogo/.
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Gooding, T. (2019). Netlogo. In: Economics for a Fairer Society. Palgrave Pivot, Cham. https://doi.org/10.1007/978-3-030-17020-2_5
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DOI: https://doi.org/10.1007/978-3-030-17020-2_5
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