There is the inference collection for backward and forward chaining inference that is on PLaneT (in fact, I just updated it for PLT Scheme 4.0 today). And, I have some graph search algorithms for state-space problem solvers (with examples) and a blocks world program, with how and why explanations based on walking the solution tree, that aren't on PLaneT, but that are written in PLT Scheme. I'd be happy to make those available to you.<br>
<br>Doug<br><br><div class="gmail_quote">On Thu, Feb 5, 2009 at 8:56 AM, Noel Welsh <span dir="ltr"><<a href="mailto:noelwelsh@gmail.com">noelwelsh@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
I don't know of much released AI code. There is the Science<br>
collection on Planet (<a href="http://planet.plt-scheme.org" target="_blank">http://planet.plt-scheme.org</a>) on which said code<br>
can be built (assuming you tend more towards statistical AI / machine<br>
learning than symbolic AI). There are several AI researchers on this<br>
list (including myself) who have code that might be useful to you,<br>
though I expect much of it is too advanced and too hastily written to<br>
be appropriate for the classroom.<br>
<br>
I have code for the following:<br>
<br>
- beta process<br>
- Dirichlet process<br>
- variational HMM<br>
- generic POMDP<br>
- basic HMM stuff (forward-backward alg. etc.)<br>
<br>
That's in rough order of when I last touched it, and hence how easy it<br>
would be to get running in recent PLT Scheme.<br>
<font color="#888888"><br>
N.<br>
</font><div class="Ih2E3d"><br>
On Wed, Feb 4, 2009 at 11:00 PM, Michael H. Coen <<a href="mailto:mhcoen@gmail.com">mhcoen@gmail.com</a>> wrote:<br>
> Howdy folks,<br>
><br>
> I'm teaching the Introduction to AI course at UW-Madison this term.<br>
<br>
</div>...<br>
<div class="Ih2E3d">> I'm a bit surprised there isn't an AI code repository. Perhaps I'm not finding it?<br>
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