logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Stochastic Multiplayer Games Theory And Algorithms Ummels Michael

  • SKU: BELL-22125630
Stochastic Multiplayer Games Theory And Algorithms Ummels Michael
$ 31.00 $ 45.00 (-31%)

4.4

22 reviews

Stochastic Multiplayer Games Theory And Algorithms Ummels Michael instant download after payment.

Publisher: Pallas Publications
File Extension: PDF
File size: 1.98 MB
Pages: 174
Author: Ummels, Michael
ISBN: 9789085550402, 9085550408
Language: English
Year: 2010

Product desciption

Stochastic Multiplayer Games Theory And Algorithms Ummels Michael by Ummels, Michael 9789085550402, 9085550408 instant download after payment.

Stochastic games provide a versatile model for reactive systems that are affected by random events. This dissertation advances the algorithmic theory of stochastic games to incorporate multiple players, whose objectives are not necessarily conflicting. The basis of this work is a comprehensive complexity-theoretic analysis of the standard game-theoretic solution concepts in the context of stochastic games over a finite state space. One main result is that the constrained existence of a Nash equilibrium becomes undecidable in this setting. This impossibility result is accompanied by several positive results, including efficient algorithms for natural special cases.

Related Products