In game theory, asynchrony occurs when gameplay does not proceed in consistently paced rounds. A system is synchronous if agents in a game move in lockstep according to a global timing system, whereas "in an asynchronous system, there is no global clock. The agents in the system can run at arbitrary rates relative to each other."[1]
External links edit
- Abraham, I., Alvisi, L., & Halpern, J. Y. (2011). Distributed computing meets game theory: combining insights from two fields. Acm Sigact News, 42(2), 69–76.
- Ben-Or, M. (1983). Another Advantage of Free Choice: Completely Asynchronous Agreement Protocols. In Proc. 2nd ACM Symp. on Principles of Distributed Computing, pp. 27–30.
- Solodkin, L., & Oshman, R. (2021). Truthful Information Dissemination in General Asynchronous Networks. In 35th International Symposium on Distributed Computing (DISC 2021). Schloss Dagstuhl-Leibniz-Zentrum für Informatik. https://drops.dagstuhl.de/opus/volltexte/2021/14839/pdf/LIPIcs-DISC-2021-37.pdf
- Yifrach, A., & Mansour, Y. (2018, July). Fair leader election for rational agents in asynchronous rings and networks. In Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing (pp. 217-226). https://arxiv.org/pdf/1805.04778.pdf
References edit
- ^ Halpern, J. Y. (2003). A computer scientist looks at game theory. Games and Economic Behavior, 45(1), p. 120
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