Automatic games playing is interesting subject, and there is a lot of systems that try to play games automatically (without human's help). The goal of this thesis was to try achieve a system that can play not just one but a group of games. One system that plays multiple games based on configuration file explaining the game's rules learns how to play, and finds "good" strategies to play the game. It turns out that described task is very complex and in the end the group of games that the system can play was narrowed down to very restricted area of games. Choosen games are masive multiplayer online real time strategy games that are played in web browsers, and have only the data as information (no parsing images, animations, etc). In those games player is a ruler of some property (planet, village, ...) and is developing the economy, buildings, research, army, .. in attempt to rise above other players by some of the criterion. Example of those games for which we wrote the configuration files for system demonstration are Ogame and Travian. Those games have different ways the player can play them based on player's goals and intentions. Developed system plays the role of "farmer". Player farmer has the goal of developing the economy situation and develop his resource production as much as possible. System learns the rules from the configuration file, and the decision about what to do is based on simulation of possible moves, decisions of neural network and evaluation of states in which games end up doing those moves. After system has found the acceptable game state, it executes the action needed to get to that state. System is automating players action in the web browser by using PhantomJS, in memory web browser. The browser does not have user interface but offers programatical interface (API) for navigating the web and parsing the pages. To use the system a user has to implement GameHook interface. That interface defines methods for interaction with the real game. We have used PhantomJS for that. Achieved results of the implemented system are quite good. In both games system got into TOP100 by general statistics which is a realy good result. Of course system can progress further in time.