Framework for Case-Based Reasoning in Perl. For an overview, please see my slides from YAPC::EU 2009. In brief, you need to specifiy an AI::CBR::Case with the help of similarity functions from AI::CBR::Sim. Then you can find similar cases from a case...

OF ALGORITHM Particle Swarm Optimization is an optimization algorithm designed by Russell Eberhart and James Kennedy from Purdue University. The algorithm itself is based off of the emergent behavior among societal groups ranging from marching of ant...

WARNING: THIS IS A VERY EARLY RELEASE, MAY CONTAIN CRITICAL BUGS!!! AI::FANN is a Perl wrapper for the Fast Artificial Neural Network (FANN) Library available from <http://fann.sourceforge.net>: Fast Artificial Neural Network Library is a free open s...

Perl interface to MXNet machine learning library. MXNet supports the Perl programming language. The MXNet Perl package brings flexible and efficient GPU computing and state-of-art deep learning to Perl. It enables you to write seamless tensor/matrix ...

The main purpose of this module is to create easy Neural Networks with Perl. The module was designed to can be extended to multiple network types, learning algorithms and activation functions. This architecture was 1st based in the module AI::NNFlex,...

"AI::Prolog" is a pure Perl predicate logic engine. In predicate logic, instead of telling the computer how to do something, you tell the computer what something is and let it figure out how to do it. Conceptually this is similar to regular expressio...

The CRM114 Discriminator, is a collection of tools to classify data, e.g. for use in spam filters. This module is a simple wrapper around the command line executable. Feedback is very welcome, the interface is unstable. Use with caution....

Conversation simulators are computer programs which give the appearance of conversing with a user in natural language. Such programs are effective because they exploit the fact that human beings tend to read much more meaning into what is said than i...

This module is a general purpose artificial intelligence. It consists of one method, dwim ('Do what I mean'), which can take any number of arguments....

Perl wrapper for XGBoost library. The easiest way to use the wrapper is using "train", but beforehand you need the data to be used contained in a "DMatrix" object This is a work in progress, feedback, comments, issues, suggestion and pull requests ar...

This module implements a Genetic Algorithm (GA) in pure Perl. Other Perl modules that achieve the same thing (perhaps better, perhaps worse) do exist. Please check CPAN. I mainly wrote this module to satisfy my own needs, and to learn something about...

This module provides interface to nnvm via its api....

This module implements a substractive clustering algorithm....

This module simulates a termites world based on the ideas described on the book "Adventures in Modeling" by Vanessa Stevens Colella, Eric Klopfer and Mitchel Resnick (<http://education.mit.edu/starlogo/adventures/>). In this version, termites can mov...

Provides accessors for the libneural library as a perl object. libneural is a C++ library that impelements a feed-forward back-proprogation neural network. The interface is extremely simple and should take no more than a few minutes to master given a...

Classifiers usually return some sort of an instance score with their classifications. These scores can be used as probabilities in various calculations, but first they need to be *calibrated*. Naive Bayes, for example, is a very useful classifier, bu...

This module provides interface to mxnet via its api....

This module implements the classic "Naive Bayes" machine learning algorithm. This is a low level class that accepts only pre-computed feature-vectors as input, see AI::Classifier::Text for a text classifier that uses this class. Creation of "AI::Naiv...