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Generalized Agent Model (GAM) is a new and generalized (machine) learning algorithm.

Generalized Agent Model and Computer Simulation (GAMCS) is a C++ software library that describes and implements GAM using computer.



Features
GAM is a very powerful and flexible learning algorithm, which is


 * unsupervised, completely autonomous
 * model free, ultimately flexible
 * dynamic learning, what it has to learn to do, it learns by doing

GAMCS is complete description and implementation of GAM using the C++ language, which is


 * fast and stable
 * very easy to use
 * with support of direct modify and query of model's inner information

Sections

 * Getting Started: Brief guides to describe how to install and use GAMCS to solve your problems.


 * Documents: GAMCS API documents.


 * Examples: Here are a few examples on how to use GAMCS.


 * Projects: Projects that are powered by GAM/GAMCS.


 * Support: Still confused about GAMCS or GAM concepts? This is where you can get help.


 * Contribute: Benefit from GAMCS and want to contribute? There are a lot of things you can do to help.