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Rog-O-Matic is a bot developed in 1981 to play and win the computer game Rogue, by four graduate students in the Computer Science Department at Carnegie-Mellon University in Pittsburgh: Andrew Appel, Leonard Hamey, Guy Jacobson and Michael Loren Mauldin.[1]

Described as a "belligerent expert system", Rog-O-Matic performs well when tested against expert Rogue players, even winning the game.

Because all information in Rogue is communicated to the player via ASCII text, Rog-O-Matic has automatic access to the same information a human player has. The program is still the subject of some scholarly interest; a 2005 paper said:

One of Rog-O-Matic's authors, Michael Loren Mauldin, would go on to write the Lycos search engine.


  1. ^ A. K. Dewdney. "An expert system outperforms mere mortals as it conquers the feared Dungeons of Doom". "Scientific American", volume 252, issue 2, February 1985, pp. 18-21. Retrieved 2014-03-12.
  2. ^ G. Henderson; E. Bacic; M. Froh (November 2005). "Dynamic Asset Protection & Risk Management Abstraction Study" (PDF). Defence Research and Development Canada. Retrieved 2007-11-09.


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