Truthful and Almost Envy-Free Mechanism of Allocating Indivisible Goods: the Power of Randomness
<|reference_start|>Truthful and Almost Envy-Free Mechanism of Allocating Indivisible Goods: the Power of Randomness: We study the problem of fairly and truthfully allocating $m$ indivisible items to $n$ agents with additive preferences. Specifically, we consider truthful mechanisms outputting allocations that satisfy EF$^{+u}_{-v}$, where, in an EF$^{+u}_{-v}$ allocation, for any pair of agents $i$ and $j$, agent $i$ will not envy agent $j$ if $u$ items were added to $i$'s bundle and $v$ items were removed from $j$'s bundle. Previous work easily indicates that, when restricted to deterministic mechanisms, truthfulness will lead to a poor guarantee of fairness: even with two agents, for any $u$ and $v$, EF$^{+u}_{-v}$ cannot be guaranteed by truthful mechanisms when the number of items is large enough. In this work, we focus on randomized mechanisms, where we consider ex-ante truthfulness and ex-post fairness. For two agents, we present a truthful mechanism that achieves EF$^{+0}_{-1}$ (i.e., the well-studied fairness notion EF$1$). For three agents, we present a truthful mechanism that achieves EF$^{+1}_{-1}$. For $n$ agents in general, we show that there exist truthful mechanisms that achieve EF$^{+u}_{-v}$ for some $u$ and $v$ that depend only on $n$ (not $m$).   We further consider fair and truthful mechanisms that also satisfy the standard efficiency guarantee: Pareto-optimality. We provide a mechanism that simultaneously achieves truthfulness, EF$1$, and Pareto-optimality for bi-valued utilities (where agents' valuation on each item is either $p$ or $q$ for some $p>q\geq0$). For tri-valued utilities (where agents' valuations on each item belong to $\{p,q,r\}$ for some $p>q>r\geq0$) and any $u,v$, we show that truthfulness is incompatible with EF$^{+u}_{-v}$ and Pareto-optimality even for two agents.<|reference_end|>
@article{bu2024truthful,
    title={Truthful and Almost Envy-Free Mechanism of Allocating Indivisible Goods:
  the Power of Randomness},
    author={Xiaolin Bu, Biaoshuai Tao},
    journal={arXiv preprint arXiv:2407.13634},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.13634},
    primaryClass={cs.GT}
}