Integer Splittable Congestion Games with Capacitated Resources and Player-Specific Costs
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Main Track. Pages 279-287.
https://doi.org/10.24963/ijcai.2026/32
Keywords
- Game Theory and Economic Paradigms: Noncooperative games
- Agent-based and Multi-agent Systems: Agent theories and models
Abstract
Motivated by practical allocation problems, we study integer splittable congestion games with capacitated resources and player-specific costs. In this setting, each player has an integer weight that has to be split in integer units across multiple resources, each with a capacity limiting the total assigned weight, i.e., its congestion. The latency of a resource is equal to a player-specific constant when its congestion is not greater than the capacity and becomes prohibitive, i.e., equal to ∞, once the capacity is exceeded.
We analyze the computational complexity of finding an allocation that optimizes utilitarian social welfare under two cost models (total cost and per-unit cost). Furthermore, we investigate the computation of, speed of convergence to, and efficiency of Nash equilibria.
@inproceedings{ijcai2026p32,
title = {Integer Splittable Congestion Games with Capacitated Resources and Player-Specific Costs},
author = {Monaco, Gianpiero and Mosca, Raffaele and Moscardelli, Luca},
booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-26}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Diego Calvanese},
pages = {279--287},
year = {2026},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2026/32},
url = {https://doi.org/10.24963/ijcai.2026/32},
}
TY - CPAPER TI - Integer Splittable Congestion Games with Capacitated Resources and Player-Specific Costs AU - Monaco, Gianpiero AU - Mosca, Raffaele AU - Moscardelli, Luca T2 - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2026 SP - 279 EP - 287 DO - 10.24963/ijcai.2026/32 UR - https://doi.org/10.24963/ijcai.2026/32 ER -Copied
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