This tutorial will present you with the basics of how to use NetLogo to create an agent-based modeling. During the tutorial, we will briefly discuss what agent-based modeling is, and then dive in to hands-on work using the NetLogo programming language, which is developed and supported at Northwestern University by Uri Wilensky. No programming background or knowledge is required, and the methods examined will be useable in any number of different fields.
Overview
Syllabus
- Introduction to ABM
- Tabs, Turtles, Patches, and Links
- Code, Control, and Collections
- Putting It All Together
- Conclusion
Tags
Reviews
4.8 rating, based on 8 Class Central reviews
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There is no other better way, how to learn NetLogo and agent-based modelling basics. Bill is TOP expert and the course make you keen for such topics.
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The course is quite good, but I would like to see more online and hands on coding and thoroughly explained .
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Being totally new to modeling and computer programs, I found the tutorial excellent. The step by step approach helped me follow along, while I could stop each video to try things on the side. Bill Rand explained everything in clear words; the demonstrations were clear and the videos just the right length for someone like me. I truly enjoyed doing the tutorial, which I undertook as a preparation after having enrolled in ABM without having ever before heard about Netlogo. Thank you.
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Very good introductory course! I found it very easy tp follow. I think this website is one of the easiest ad most intuitive platforms of online learning. I am really impressed.
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The tutorial is good for a general introduction. It is also good as a reference point for NetLogo programs that one may want to create in the future. Very easy to follow.
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The content provides a candid introduction to the course. I would recommend to all who are new to NetLogo and even those who want to re-look it.
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Excellently described and provided enough example for the beginner. I have learned to think of my reserach problems in terms of modeling.
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A course that contains the necessary information to define types of models that will be fed by agents with non-linear dynamic behavior