Contributions to Game Theory and Management
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Contributions to Game Theory and Management:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Contributions to Game Theory and Management, 2009, Volume 2, Pages 147–153 (Mi cgtm46)  

Solutions of Bimatrix Coalitional Games

Xeniya Grigorieva, Svetlana Mamkina

St. Petersburg State University, Faculty of Applied Mathematics and Control Processes, University pr. 35, St. Petersburg, 198504, Russia
References:
Abstract: The PMS-vector is defined and computed in (Petrosjan and Mamkina, 2006) for coalitional games with perfect information. Generalizati-on of the PMS-vector for the case of Nash equilibrium (NE) in mixed strategies is proposed in this paper.
Keywords: bimatrix games, coalitional partition, Nash equilibrium, Shapley value, PMS-vector, games with perfect information.
Document Type: Article
Language: English
Citation: Xeniya Grigorieva, Svetlana Mamkina, “Solutions of Bimatrix Coalitional Games”, Contributions to Game Theory and Management, 2 (2009), 147–153
Citation in format AMSBIB
\Bibitem{GriMam09}
\by Xeniya~Grigorieva, Svetlana~Mamkina
\paper Solutions of Bimatrix Coalitional Games
\jour Contributions to Game Theory and Management
\yr 2009
\vol 2
\pages 147--153
\mathnet{http://mi.mathnet.ru/cgtm46}
Linking options:
  • https://www.mathnet.ru/eng/cgtm46
  • https://www.mathnet.ru/eng/cgtm/v2/p147
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Statistics & downloads:
    Abstract page:347
    Full-text PDF :126
    References:33
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024