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Multi-agent Contracts

Published: 02 June 2023 Publication History
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  • Abstract

    We study a natural combinatorial single-principal multi-agent contract design problem, in which a principal motivates a team of agents to exert effort toward a given task. At the heart of our model is a reward function, which maps the agent efforts to an expected reward of the principal. We seek to design computationally efficient algorithms for finding optimal (or near-optimal) linear contracts for reward functions that belong to the complement-free hierarchy.
    Our first main result gives constant-factor approximation algorithms for submodular and XOS reward functions, with value and demand oracles, respectively. It relies on an unconventional use of “prices” and (approximate) demand queries for selecting the set of agents that the principal should contract with, and exploits a novel scaling property of XOS functions and their marginals, which may be of independent interest.
    Our second main result is an Ω(√n) impossibility for settings with n agents and subadditive reward functions, even with demand oracle access. A striking feature of this impossibility is that it applies to subadditive functions that are constant-factor close to submodular. This presents a surprising departure from previous literature, e.g., on combinatorial auctions.

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    cover image ACM Conferences
    STOC 2023: Proceedings of the 55th Annual ACM Symposium on Theory of Computing
    June 2023
    1926 pages
    ISBN:9781450399135
    DOI:10.1145/3564246
    This work is licensed under a Creative Commons Attribution 4.0 International License.

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    Published: 02 June 2023

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    Author Tags

    1. XOS
    2. contract theory
    3. moral hazard
    4. submodularity

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