Source

shlomi-fish-homepage / t2 / lecture / Perl / Lightning / Opt-Multi-Task-in-PDL / index.html.wml

shl...@cec68495-… 75862aa 
Shlomi Fish 4db1a16 
Shlomi Fish 065c27e 
Shlomi Fish 4db1a16 
shl...@cec68495-… 75862aa 

shl...@iglu.org.… 6ce93ef 
shl...@cec68495-… 75862aa 








Shlomi Fish 4db1a16 










#include '../template.wml'
#include <utils.wml>
#include "cpan_dists.wml"

<latemp_subject "Perl Lightning Talk - Optimising Multi-Tasking in PDL" />

<h2><a href="slides/">The Slides</a></h2>

<h2>Introduction</h2>

<p>
This is a presentation about how to implement a certain Game AI
multi-tasking optimisation problem in <a href="http://pdl.perl.org/">PDL</a>
(the Perl Data Language), thus gaining both speed and flexibility.
</p>

<note>
<h2 id="note">Note</h2>

<p>
I have now made a derivative version of code discussed here available as
<cpan_dist d="AI-Pathfinding-OptimizeMultiple">CPAN package called
“AI-Pathfind-OptimizeMultiple”</cpan_dist>. Strangely enough, other
people and I were not able to find prior art for this algorithm and technique
in the Game Artificial Intelligence literature.
</p>

</note>