The Optimization Trilemma: Efficiency, Comfort and Fairness in Decentralized Multi-agent Coordination
The problem of fair multi-agent coordination in decentralized settings is one of the most pressing challenges for building efficient collaborative systems. Resource allocation is based on optimized collective arrangements accounting for agents' needs. Such coordination should not only be computationally efficient but also account for fairness, i.e., equitable redistribution of costs incurred by all agents. Recent literature has proposed several algorithms that efficiently determine optimal plan combinations balancing system-wide efficiency and individual discomfort of agents in a centralized setting. However, these works do not address equitable resource optimization in fully decentralize...
| Authors | Jovan Nikolic, Maciej Krzysztof Zuziak, Evangelos Pournaras |
|---|---|
| Primary category | cs.MA |
| Published | 19 July 2026 |
| Last updated at source | 19 July 2026 |
Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.