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… 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>


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

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

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.