We study a dynamic mechanism design problem for a network of interdependent strategic agents with coupled dynamics. In contrast to the existing results for static settings, we present a dynamic mechanism that is incentive compatible, individually rational, budget balanced, and social welfare maximizing. We utilize the correlation among agents’ states over time, and determine a set of inference signals for all agents that enable us to design a set of incentive payments that internalize the effect of each agent on the overall network dynamic status, and thus, align each agent’s objective with the social objective.
CITATION STYLE
Farhadi, F., Tavafoghi, H., Teneketzis, D., & Golestani, J. (2017). A dynamic incentive mechanism for security in networks of interdependent agents. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 212, pp. 86–96). Springer Verlag. https://doi.org/10.1007/978-3-319-67540-4_8
Mendeley helps you to discover research relevant for your work.