Ai Examples

AI::Prolog::Builtins is a Perl module with builtin predicates that AI::Prolog supports. Comments Comments begin with a % and terminate at the end of the line or begin with /* and terminate with */. Variables As in Prolog, all variables begin with an upper-case letter and are not quoted.... Platforms: *nix

AI::FuzzyInference is a Perl module to implement a Fuzzy Inference System. SYNOPSYS use AI::FuzzyInference; my $s = new AI::FuzzyInference; $s->inVar(service, 0, 10, poor => [0, 0, 2, 1, 4, 0], good => [2, 0, 4, 1, 6, 0], excellent => [4, 0, 6, 1, 8, 0], amazing => [6, 0, 8, 1,... Platforms: *nix

AI::NNFlex is a base Perl class for implementing neural networks. SYNOPSIS use AI::NNFlex; my $network = AI::NNFlex->new(config parameter=>value); $network->add_layer( nodes=>x, activationfunction=>function); $network->init(); $network->lesion( nodes=>PROBABILITY,... Platforms: *nix

AI::NNFlex::Reinforce is a very simple experimental NN module. SYNOPSIS use AI::NNFlex::Reinforce; my $network = AI::NNFlex::Reinforce->new(config parameter=>value); $network->add_layer(nodes=>x,activationfunction=>function); $network->init(); use AI::NNFlex::Dataset; my $dataset... Platforms: *nix

AI::NNFlex::Backprop project is a fast, pure perl backprop Neural Net simulator. SYNOPSIS use AI::NNFlex::Backprop; my $network = AI::NNFlex::Backprop->new(config parameter=>value); $network->add_layer(nodes=>x,activationfunction=>function); $network->init(); use... Platforms: *nix

Games::Euchre::AI is a Player API for Euchre card game. This class implements a skeletal Euchre player programming interface. Subclasses can be created quite easily as interactive interfaces or AI computer players. If you wish to write your own computer player, I recommend you start with... Platforms: *nix

AI::NeuralNet::Simple is a simple learning module for building neural nets. SYNOPSIS use AI::NeuralNet::Simple; my $net = AI::NeuralNet::Simple->new(2,1,2); # teach it logical or for (1 .. 10000) { $net->train([1,1],[0,1]); $net->train([1,0],[0,1]); $net->train([0,1],[0,1]);... Platforms: *nix

Mind AI project is an artificial mind based on some advanced concepts: - machine learning - representation - meta representation of concepts - concept reflection - reification - denotation Interaction with the AI is done via IRC. Whats New in This Release: - geo: start some... Platforms: *nix

AI::DecisionTree is Perl module for automatically Learns Decision Trees. SYNOPSIS use AI::DecisionTree; my $dtree = new AI::DecisionTree; # A set of training data for deciding whether to play tennis $dtree->add_instance (attributes => {outlook => sunny, temperature => hot, humidity =>... Platforms: *nix

GCJ::Cni::Examples is a Perl module with examples of how to use GCJs CNI interface to write Perl Modules in Java. EXAMPLES Writing Treaded modules in Java One benefit of using GCJ is that it takes advantage of POSIX threading. This is nice since Perls threading model is, shall we say, less... Platforms: *nix

GNUstep examples is a collection of programs that are meant to show programmers how to use GNUstep. GNUstep examples includes a calculator, a currency converter, finger, fractal, puzzle, hostaddress, and ink (a simple editor). Whats New in This Release: - Minor feature enhancements. Platforms: *nix

AI::Menu is a Perl object that generates Tree::Nary objects from directed graphs or a description of the function set. The algorithm is not very efficient (approximately O(F^6), F being the number of functions). It is also not quite as intelligent as it should be. You should cache the results... Platforms: *nix

Java::Import::Examples is an example of how to use Java::Import to call into Java classes. Making RMI calls from Perl One nice thing about Java is the extremely straight forward manner in which it allows you to make calls to remote objects residing on distant servers. Many people use this... Platforms: *nix

AI::NeuralNet::BackProp is a simple back-prop neural net that uses Deltas and Hebbs rule. SYNOPSIS use AI::NeuralNet::BackProp; # Create a new network with 1 layer, 5 inputs, and 5 outputs. my $net = new AI::NeuralNet::BackProp(1,5,5); # Add a small amount of randomness to the network... Platforms: *nix

[COPRIGHT=1] EXAMPLES General #!/usr/bin/perl -w use strict; use DBIx::Simple; # Instant database with DBD::SQLite my $db = DBIx::Simple->connect(dbi:SQLite:dbname=file.dat) or die DBIx::Simple->error; # Connecting to a MySQL database my $db = DBIx::Simple->connect(... Platforms: *nix

AI::NeuralNet::Kohonen is a Perl module with Kohonens Self-organising Maps. SYNOPSIS $_ = AI::NeuralNet::Kohonen->new( map_dim_x => 39, map_dim_y => 19, epochs => 100, table => "3 1 0 0 red 0 1 0 yellow 0 0 1 blue 0 1 1 cyan 1 1 0 yellow 1 .5 0 orange 1 .5 1 pink" ); $_->train;... Platforms: *nix

AI::ExpertSystem::Simple is a simple expert system shell. SYNOPSIS This class implements a simple expert system shell that reads the rules from an XML knowledge base and questions the user as it attempts to arrive at a conclusion. This class is where all the work is being done and the other... Platforms: *nix

AI::FuzzyLogic is a Perl module for Fuzzy Set Operations and Tools. SYNOPSIS use AI::FuzzyLogic; $i = new AI::FuzzyLogic $unittype, @numbers; # new set with one subset $i = new AI::FuzzyLogic age, 0, 0.1, 0.2, 0.1, 0; # same thing $i = new AI::FuzzyLogic $subset1, $subset2, $subset3; #... Platforms: *nix

Collection of most wanted Delphi examples with full source code and animated tutorials as a standalone application. No third party components. Platforms: Windows

A collection of views examples that can be turned on and used directly within views. You can use the views examples as-is on your site, or you can clone them and use them as a starting point for further customized views.This module is in beta and will likely have more features added before a 1.0... Platforms: PHP