Computer Science – Information Theory
Scientific paper
2009-11-04
Computer Science
Information Theory
Presented at Allerton 2009, 6 pages, 5 eps figures, uses IEEEtran.cls
Scientific paper
Two-player zero-sum repeated games are well understood. Computing the value of such a game is straightforward. Additionally, if the payoffs are dependent on a random state of the game known to one, both, or neither of the players, the resulting value of the game has been analyzed under the framework of Bayesian games. This investigation considers the optimal performance in a game when a helper is transmitting state information to one of the players. Encoding information for an adversarial setting (game) requires a different result than rate-distortion theory provides. Game theory has accentuated the importance of randomization (mixed strategy), which does not find a significant role in most communication modems and source coding codecs. Higher rates of communication, used in the right way, allow the message to include the necessary random component useful in games.
No associations
LandOfFree
State Information in Bayesian Games does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with State Information in Bayesian Games, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and State Information in Bayesian Games will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-620804