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Game Authority for Robust and Scalable Distributed Selfish Computer Systems

Shlomi Dolev ; Elad Michael Schiller (Institutionen för data- och informationsteknik, Datavetenskap, Datakommunikation och distribuerade system (Chalmers)) ; Paul G. Spirakis ; Philippas Tsigas (Institutionen för data- och informationsteknik, Datavetenskap, Datakommunikation och distribuerade system (Chalmers))
Proceedings of the twenty-sixth annual ACM symposium on Principles of distributed computing p. 356 - 357 . (2007)
[Konferensbidrag, refereegranskat]

Game theory analyzes social structures of agents that have freedom of choice within a moral code. The society allows freedom and selfishness within the moral code, which social structures enforce, i.e., legislative, executive, and judicial. Social rules encourage individual profit from which the entire society gains. Distributed computer systems can improve their scalability and robustness by using explicit social structures. We propose using a game authority middleware for enforcing the moral code on selfish agents. The power of game theory is in predicting the game outcome for specific assumptions. The prediction holds as long as the players cannot tamper with the social structure, or change the rules of the game, i.e., the prisoner cannot escape from prison in the classical prisoner dilemma. Therefore, we cannot predict the game outcome without suitable assumptions on failures and honest selfishness.

Nyckelord: Distributed Computing, Game Theory, middleware



Denna post skapades 2007-09-24. Senast ändrad 2014-11-10.
CPL Pubid: 49702

 

Institutioner (Chalmers)

Institutionen för data- och informationsteknik, Datavetenskap, Datakommunikation och distribuerade system (Chalmers) (2005-2007)

Ämnesområden

Datalogi
Systemteknik
Programvaruteknik

Chalmers infrastruktur