So that's it for unit 2,
and I just wanted quickly to go over where we've been...
where we're going, and what's going on from here.
So unit 2 was all about introducing you to the idea of NetLogo...
how it works, what the tabs are, what the turtles, the patches and the links are.
We've talked a lot about the code tab
how to write your own code
We talked about properties, both global and turtles
And then we started building our model
We built the 'Heroes and Cowards' model
And then we talked about how you might want to extend that model
in a number of different ways.
And how you should be documenting that model as you go along
And a little bit about random number seeds
and how those affect agent based models.
So that's unit 2.
Now looking forward a little bit...
one of the things I've done is I've asked some of my friends and collaborators
to put together short videos about how they use agent based modelling...
to study different problems.
Basically, the idea here is you'll have a 'virtual field trip'
of where agent based modelling is being used.
So we had the one from Uri Wilensky in the first unit
and in this unit we'll have one by Marco Janssen who's at Arizona State University
and has done quite a bit of phenomenal work on agent based modelling.
He's going to talk about an example
that is a very empirically grounded example of an agent based model
That video will be next in the feed after this wrap up.
And then you'll see the unit 2 test
as well as the slides for the entire unit 2.
These slides are a little 'skimpier' than some of the unit 1 slides
because a lot of it is just little 'placeholders' to remind you
about NetLogo commands and options that you might want to use in different contexts.
Next week, we'll be starting unit 3,
which will be on extending other models that people have written
including some more complex models than the one we explored here.
So that's it for unit 2.
I hope everyone's having a good time on the course so far.
Join me for office hours if you want,
and I look forward to talking to you and seeing you in the near future.
Take care.