Multi-population congestion games with incomplete information

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Abstract

Congestion games have many important applications to systems where only limited knowledge may be available to players. Here we study traffic networks with multiple origin-destination pairs, relaxing the simplifying assumption of agents having complete knowledge of the network structure. We identify a ubiquitous class of networks, i.e., rings, for which we can safely increase the agents' knowledge without affecting their own overall performance - known as immunity to Informational Braess' Paradox - closing a gap in the literature. By extension of this performance measure to include the welfare of all agents, i.e., minimisation of social cost, we show that IBP is a widespread phenomenon and no network is immune to it.

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Roman, C., & Turrini, P. (2019). Multi-population congestion games with incomplete information. In IJCAI International Joint Conference on Artificial Intelligence (Vol. 2019-August, pp. 565–571). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2019/80

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