Michael.Mauldin@CMU-CS-CAD@sri-unix.UUCP (08/17/83)
People of NetLand, the long awaited day of liberation has arrived! Throw off the shackles of ignorance and see what secrets of technology have been laid bare through the agency of a free university press, unbridled by the harsh realities of economic competition! The Rog-O-Paper is here! For a copy of CMU Technical Report CMU-CS-83-144, entitled "Rog-O-Matic: A Belligerent Expert System", please send your physical address to Mauldin@CMU-CS-A and include the phrase "paper request" in the subject line. For those who have a copy of the draft, the final version contains two more figures, expanded descriptions of some algorithms, and an updated discussion of Rog-O-Matic's performance, including improvements made since February. And even if you don't have a copy of the draft, the final version still contains two more diagrams, expanded descriptions of some algorithms, and an updated discussion of performance. The history of the program's development is also chronicled. The source is still available by either FTP or can be mailed in several pieces. It is about a third of a megabyte of characters, and is mailed in pieces either 70K or 40K characters long. Michael Mauldin (Fuzzy) Computer Science Department Carnegie-Mellon University Pittsburgh, PA 15213 CMU-CS-83-144 Abstract Rog-O-Matic is an unusual combination of algorithmic and production systems programming techniques which cooperate to explore a hostile environment. This environment is the computer game Rogue, which offers several advantages for studying exploration tasks. This paper presents the major features of the Rog-O-Matic system, the types of knowledge sources and rules used to control the exploration, and compares the performance of the system with human Rogue players.