Summary: Information­Theoretic Advisors in Invisible Chess.
A.E. Bud, D.W. Albrecht, A.E. Nicholson and I. Zukerman
fbud,dwa,annn,ingridg@csse.monash.edu.au
School of Computer Science and Software Engineering, Monash University
Clayton, Victoria 3800, AUSTRALIA
phone: +61 3 9905­5225 fax: +61 3 9905­5146
Abstract
Making decisions under uncertainty remains a cen­
tral problem in AI research. Unfortunately, most
uncertain real­world problems are so complex that
progress in them is extremely difficult. Games
model some elements of the real world, and offer
a more controlled environment for exploring meth­
ods for dealing with uncertainty. Chess and chess­
like games have long been used as a strategical­
ly complex test­bed for general AI research, and
we extend that tradition by introducing an imper­
fect information variant of chess with some useful
properties such as the ability to scale the amount of
uncertainty in the game. We discuss the complex­

Source: Albrecht, David - Caulfield School of Information Technology, Monash University
Nicholson, Ann - School of Computer Science and Software Engineering, Monash University

Collections: Computer Technologies and Information Sciences