#NETLOGO PROJECT IDEAS SOFTWARE#
NetLogo can be linked with advanced software tools like R (R Core Team, 2019), Python (Python Software Foundation, 2019), Mathematica (Wolfram Research, Inc., 2019) or Matlab (The MathWorks, Inc., 2019). NetLogo is now a powerful tool widely used in science and we recommend it strongly, especially for those new to modeling and programming but also for serious scientists with software experience. Java or Objective-C, and can often reduce programming efforts significantly when compared with other languages. NetLogo language is definitely simpler to use than e.g. NetLogo also has the big advantage over pseudo-code of being executable, so the user can run and test the examples. Since NetLogo was designed to be easily readable, we believe that NetLogo code is about as easy to read as any pseudo-code we would have used. As a matter of fact, NetLogo language could perfectly be used as pseudo-code to communicate algorithms implemented in other languages. One characteristic that makes the NetLogo language easy to learn is that it is remarkably close to natural language. Someone with programming experience could reduce the estimated time to 1-2 days. To be concrete, we would estimate that an average scholar without previous coding experience can learn the basics of the language and be in a position to write a simple agent-based model after 2-4 days of work. All reviews of the software highlight how easy it is to learn.
The language used to code models within NetLogo –which is also called NetLogo– has been designed following a “Low Threshold, No Ceiling” philosophy (Wilensky and Rand, 2015). NetLogo stands out as the quickest to learn and the easiest to use. Useful to conduct experiments with real people and for participatory modeling.Extensions to fulfill specialised needs.Great support and active user community.Multiplatform and online execution of models.Automatic exploration of parameter space.Possibility to interact with the model at runtime.
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