Survey for Data Mining in Agent-Based Simulation
I am currently doing my master thesis in CS at TU Delft on Data Mining in Agent-Based Simulation. The goal of this thesis is to provide model designers and analysts with DM tools to make the evaluation of models easier. From my understanding, these tools are currently very limited or even non-existent.

The main idea is to create a tool in Python that connects with NetLogo to run models and obtain their output. Because Python has many data analytic libraries, it provides the exact tools that NetLogo lacks in terms of data analytics for the output of ABMS. However, because my background is in CS, my skills mostly lie in the data mining part of the problem. I have never designed a model myself yet, so I obviously lack some knowledge of what is needed in order for the tool to be useful for an actual model designer.

For this reason, I thought it would be a good idea to ask some people with a lot of modelling experience what they thought would be useful in the tool. If you have any questions, comments or would like to schedule a call to discuss this topic, contact me on this email (r.j.faber@student.tudelft.nl).

Thanks in advance,

Robin Faber

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Which of these tools for experimental analysis of ABMS have you heard of before?
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Which of these tools have you used for experimental analysis of ABMS?
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What is currently preventing you from using external data analysis tools?
Which requirements would you define to make the tool easy to use for non programmers?
What type of information would you like my tool to present? (e.g variables, locations, agent counts)
How should this information be presented? (e.g, types of graphs/tables/visualisation)
Do you have any final comments/advice?
What are the domain(s) you have made models for (in keywords)?
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