Delegating to Multiple Agents
MohammadTaghi Hajiaghayi, Keivan Rezaei, Suho Shin

TL;DR
This paper studies multi-agent delegation without money, showing that multiple agents can improve the principal's utility through competitive tension, with results varying based on information and correlation levels.
Contribution
It introduces efficient prior-independent mechanisms for multi-agent delegation, demonstrating advantages over single-agent settings and analyzing effects of information and correlation.
Findings
Multi-agent settings outperform single-agent in principal utility.
Prior-independent mechanisms achieve information and performance gains.
The number of agents influences the principal's utility positively.
Abstract
We consider a multi-agent delegation mechanism without money. In our model, given a set of agents, each agent has a fixed number of solutions which is exogenous to the mechanism, and privately sends a signal, e.g., a subset of solutions, to the principal. Then, the principal selects a final solution based on the agents' signals. In stark contrast to single-agent setting by Kleinberg and Kleinberg (EC'18) with an approximate Bayesian mechanism, we show that there exists efficient approximate prior-independent mechanisms with both information and performance gain, thanks to the competitive tension between the agents. Interestingly, however, the amount of such a compelling power significantly varies with respect to the information available to the agents, and the degree of correlation between the principal's and the agent's utility. Technically, we conduct a comprehensive study on the…
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Taxonomy
TopicsAuction Theory and Applications · Game Theory and Applications · Advanced Bandit Algorithms Research
