Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-17T00:19:43.465Z Has data issue: false hasContentIssue false

A PATH GUESSING GAME WITH WAGERING

Published online by Cambridge University Press:  23 April 2010

Marcus Pendergrass
Affiliation:
Department of Mathematics and Computer Science, Hampden-Sydney CollegeE-mail: [email protected]

Abstract

We consider a two-player game in which the first player (the Guesser) tries to guess, edge-by-edge, the path that second player (the Chooser) takes through a directed graph. At each step, the Guesser makes a wager as to the correctness of her guess and receives a payoff proportional to her wager if she is correct. We derive optimal strategies for both players for various classes of graphs, and we describe the Markov-chain dynamics of the game under optimal play. These results are applied to the infinite-duration Lying Oracle Game, in which the Guesser must use information provided by an unreliable Oracle to predict the outcome of a coin toss.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Koether, R. & Osoinach, J. (2005). Outwitting the Lying Oracle. Mathematics Magazine 78: 98109.CrossRefGoogle Scholar
2.Koether, R., Pendergrass, M. & Osoinach, J. (2009). The Lying Oracle with a biased coin. Journal of Applied Probability 41: 10231040.CrossRefGoogle Scholar
3.Lancaster, P. & Tismenetsky, M. (1985). The theory of matrices, 2nd ed.New York: Academic Press.Google Scholar
4.Minc, H. (1988). Nonnegative matrices, New York: Wiley.Google Scholar
5.Ravikumar, B. (2005). Some connections between the lying oracle problem and Ulam's search problem, In Ryan, J., Manyem, P., Sugeng, K. & Miller, M., (eds.). Proceedings of AWOCA 2005, the sixteenth Australasian workshop on combinatorial algorithms, Ballarat, 1821 September 2005, Bollarat, Australia: University of Ballarat.Google Scholar
6.Rivest, R.L., Mayer, A.R., Kleitman, D., Winklemann, K. & Spencer, J. (1980). Coping with errors in binary search procedures. Journal of Computer and System Sciences 20(2): 396404.CrossRefGoogle Scholar