We analyse the traditional board game the Game of the Goose. We are particularly interested in
the probability of the different players to win. We show that we can determine these probabilities
for up to six players. Our original motivation to investigate this game came from progress in
stochastic process theories which prompted us to ask ourselves whether those methods are capable of dealing with well known probabilistic games. As these games have large state spaces, this is not trivial. As a side effect we found that common wisdom about this game is not true.
|Name||Computer science reports|