Abstract
This work considers Internet-based task computations in which a master process assigns tasks, over the Internet, to rational workers and collect their responses. The objective is for the master to obtain the correct task outcomes. For this purpose we formulate and study the dynamics of evolution of Internet-based master-worker computations through reinforcement learning. © 2012 Springer-Verlag.
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CITATION STYLE
Christoforou, E., Anta, A. F., Georgiou, C., Mosteiro, M. A., & Sánchez, A. (2012). Achieving reliability in master-worker computing via evolutionary dynamics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7484 LNCS, pp. 451–463). https://doi.org/10.1007/978-3-642-32820-6_45
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