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
Record details
Published: 19 July 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Agents & autonomy
Retrieved: 21 July 2026
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ethics.ai (19 July 2026), “The Optimization Trilemma: Efficiency, Comfort and Fairness in Decentralized Multi-agent Coordination,” evidence record 11996, https://ethics.ai/record/11996 (originally published by arXiv).
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