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.