The aim of this project is to provide a set of efficient AI algorithms embedded into a framework in order to facilitate the development of real-time strategy games.

Actually, the development of strategic games requires the use of efficient AI algorithms, since those games explores several challenges like distributed planning, planning over uncompleted data, patrolling, area discovery, learning etc. In order to evaluate techniques and algorithms for games it is usually necessary to configure and even to adapt a game engine, for instance to generated statistic data. The RTSAI project aims to provide an AI middleware to facilitate the generation of new AI techniques for real-time strategic games by scripting them. This tool is intended to be used mainly by AI researchers and students, where they can test and evaluate their techniques and coordination mechanisms. It is implemented in C++ and Lua.