Abstract
Game Theory models the interaction of decision making between various economically active individuals which we call the players. If the influence of chance is present as well and we conceive a time dependent process on which the players decisions have an impact and from the behavior of which the players deduce payoffs, then we speak of a stochastic game. Or, in other words, a stochastic game is a multi personally controlled stochastic process.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Rosenmüller, J. (2000). Stochastic Games and Incomplete Information. In: Game Theory. Theory and Decision Library, vol 25. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3212-2_2
Download citation
DOI: https://doi.org/10.1007/978-1-4757-3212-2_2
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5114-4
Online ISBN: 978-1-4757-3212-2
eBook Packages: Springer Book Archive