# Learning Classifier Systems
### **LCS**
**(WIKI)** [**Learning classifier systems**](https://en.wikipedia.org/wiki/Learning_classifier_system)**, or LCS, are a paradigm of** [**rule-based machine learning**](https://en.wikipedia.org/wiki/Rule-based_machine_learning) **methods that combine a discovery component (e.g. typically a** [**genetic algorithm**](https://en.wikipedia.org/wiki/Genetic_algorithm)**) with a learning component (performing either** [**supervised learning**](https://en.wikipedia.org/wiki/Supervised_learning)**,** [**reinforcement learning**](https://en.wikipedia.org/wiki/Reinforcement_learning)**, or** [**unsupervised learning**](https://en.wikipedia.org/wiki/Unsupervised_learning)**).**
### **XCS**
[**XCS**](http://hosford42.github.io/xcs/) **is a type of** [**Learning Classifier System (LCS)**](http://en.wikipedia.org/wiki/Learning_classifier_system)**, a** [**machine learning**](http://en.wikipedia.org/wiki/Machine_learning) **algorithm that utilizes a** [**genetic algorithm**](http://en.wikipedia.org/wiki/Genetic_algorithm) **acting on a rule-based system, to solve a** [**reinforcement learning**](http://en.wikipedia.org/wiki/Reinforcement_learning) **problem.**
[**Scikit-xcs**](https://github.com/UrbsLab/scikit-XCS) 
[**Tutorial**](https://pythonhosted.org/xcs/)