In the assignment problem, the goal is to assign indivisible items to agents who have ordinal preferences, efficiently and fairly, in a strategyproof manner. In practice, first-choice maximality, i.e., assigning a maximal number of agents their top items, is often identified as an important efficiency criterion and measure of agents' satisfaction. In this paper, we propose a natural and intuitive efficiency property, favoring-eagerness-for-remaining-items (FERI), which requires that each item is allocated to an agent who ranks it highest among remaining items, thereby implying first-choice maximality. Using FERI as a heuristic, we design mechanisms that satisfy ex-post or ex-ante variants of FERI together with combinations of other desirable properties of efficiency (Pareto-efficiency), fairness (strong equal treatment of equals and sd-weak-envy-freeness), and strategyproofness (sd-weak-strategyproofness). We also explore the limits of FERI mechanisms in providing stronger efficiency, fairness, or strategyproofness guarantees through impossibility results.
翻译:在任务问题中,目标是将不可分割的物品分配给那些有固定偏好、高效率和公平、战略上不受限制的代理人,在实践中,首先选择的最大限度,即分配最高数量的代理人,往往被确定为一个重要的效率标准和衡量代理人满意度的标准。在本文件中,我们提出自然和直觉效率财产,赞成-谨慎-保留物品(FERI),要求将每件物品分配给在剩余物品中排位最高的代理人,从而意味着第一种选择的最大性。利用FELI作为一种超常,我们设计各种机制,既满足FERI的事后或事后变异,又结合其他可取的效率(效率)、公平(对等和Sd-weak-envy-free-free)的特性、公平(对等价和Sd-weak-weak-envy-ference-ference-ference-ference-ference)的组合,我们还探讨了FERI机制在提供更强大的效率、公平性或战略上无法保证方面的限度。