Rog-O-Matic differs from traditional expert systems in that it has the ability to work within a dynamic environment, for example the randomly generated terrain and adversaries. More importantly, the system was designed to operate in spite of limited information, recording and integrating knowledge about the environment as it is discovered.[2]