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Perl 101
Perl 201

. Theory of Fuzzy Logic and how my interface implements it - applications for Fuzzy Logic, comparison to statistical methods and to neural networks. Fuzzy sets, fuzzy operations, data units in fuzzy systems. Classification and pattern recognition using systems of fuzzy logic. How Fuzzy Logic deals with the learning problem, its advantages and disadvantages to back-propogation and genetic programming.

. Design of my (yet to be released) Fuzzy Logic module. Use of permutators and discriminators to find near-optimal solutions. Example Fuzzy Sets using "recently", "good health", and "shooting range" as examples of time, distance, and amount. Specifications for lacking modeling environment.

. Walk-through of example program to control an imaginary robot. Contest - Games::AI::Bots battle on the LCD projector between modified versions of the sample program or else completely different solutions.

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