On preferences and reward policies over rankings

Author:

Faella Marco,Sauro Luigi

Abstract

AbstractWe study the rational preferences of agents participating in a mechanism whose outcome is a ranking (i.e., a weak order) among participants. We propose a set of self-interest axioms corresponding to different ways for participants to compare rankings. These axioms vary from minimal conditions that most participants can be expected to agree on, to more demanding requirements that apply to specific scenarios. Then, we analyze the theories that can be obtained by combining the previous axioms and characterize their mutual relationships, revealing a rich hierarchical structure. After this broad investigation on preferences over rankings, we consider the case where the mechanism can distribute a fixed monetary reward to the participants in a fair way (that is, depending only on the anonymized output ranking). We show that such mechanisms can induce specific classes of preferences by suitably choosing the assigned rewards, even in the absence of tie breaking.

Funder

Università degli Studi di Napoli Federico II

Publisher

Springer Science and Business Media LLC

Reference38 articles.

1. Faella, M., & Sauro, L. (2018). Do all tournaments admit irrelevant matches? In Proceedings of the 17th international conference on autonomous agents and multiagent systems (AAMAS18) (pp. 982–989).

2. Qin, T., Chen, W., & Liu, T.-Y. (2015). Sponsored search auctions: Recent advances and future directions. ACM Transactions on Intelligent Systems and Technology, 5(4), 60–16034. https://doi.org/10.1145/2668108

3. Brill, M., Faliszewski, P., Sommer, F., & Talmon, N. (2019). Approximation algorithms for balancedCC multiwinner rules. In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS19), Montreal, QC, Canada, May 13-17, 2019, (pp. 494–502).

4. Fernández, L. S., & Fisteus, J. A. (2019). Monotonicity axioms in approval-based multi-winner voting rules. In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS19), Montreal, QC, Canada, May 13-17, 2019, (pp. 485–493).

5. Elkind, E., & Faliszewski, P. (2017). Properties of multiwinner voting rules. Social Choice and Welfare, 48(3), 599–632.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3