{"id":1124,"date":"2018-02-08T18:29:10","date_gmt":"2018-02-08T17:29:10","guid":{"rendered":"http:\/\/blogs.gm.fh-koeln.de\/ciop\/?p=1124"},"modified":"2020-06-16T21:23:57","modified_gmt":"2020-06-16T20:23:57","slug":"general-board-game-playing-as-educational-tool","status":"publish","type":"post","link":"https:\/\/blogs.gm.fh-koeln.de\/ciop\/2018\/02\/08\/general-board-game-playing-as-educational-tool\/","title":{"rendered":"General Board Game Playing as Educational Tool"},"content":{"rendered":"

\"\"<\/a><\/p>\n

GBG (General Board Game Playing &\u00a0Learning)<\/strong><\/a> is an\u00a0Open Source software framework developed at\u00a0TH K\u00f6ln, University of Applied Sciences. GBG <\/strong>aims to ease the entry for the students into game learning and the reinforcement learning<\/strong> research area which is a very interesting sub-field of artifical intelligence<\/strong>. In 2018,<\/p>\n

<\/p>\n

two\u00a0students finished their Bachelor theses\u00a0successfully on the basis of the GBG under supervision of Wolfgang Konen<\/a>.<\/p>\n

 <\/p>\n

The GBG <\/strong>framework can be used for research purposes by comparing performances of different implemented intelligent agents on different implemented games. But the most interesting fact about GBG <\/strong>is,\u00a0that any other board game or agent can easily be embedded and used. If you are interested you can read more about GBG here<\/a>.<\/p>\n

Thanks to the flexibility of GBG,\u00a0<\/strong>many new themes in game learning and AI\u00a0can be considered as possible Bachelor or Master thesis topics. The topics can be either implementation of a new game and analysing the performance of the currently implemented agents on such games or implementing a new agent (learning algorithm) and study its effectiveness on the already existing games.<\/p>\n

In case you are interested in any of the following topics (or anythign similar) please contact Wolfgang Konen<\/a>. Some examples of possible future project themes:<\/p>\n

Implementing<\/strong>:<\/p>\n