Preference Elicitation For Participatory Budgeting

Preference Elicitation For Participatory Budgeting
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参与式预算的偏好诱导

DOI:
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发表时间:
2017
期刊:
AAAI Conference on Artificial Intelligence
影响因子:
--
通讯作者:
Nisarg Shah
Nisarg Shah
中科院分区:
--
文献类型:
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作者:
Gerdus Benade;Swaprava Nath;Ariel D. Procaccia;Nisarg Shah

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预算编制通过收集和汇总个人偏好,分配公共资金。它已经对现实世界产生了相当大的影响,但要充分利用这一新范式,需要重新思考计算社会选择的一些基本问题,包括个人表达偏好的方式。我们试图最大限度地提高社会福利,通过使用观察到的选票作为选民未知的潜在效用的代理,并分析比较四种偏好引出方法:背包票,排名的价值或价值的钱,和阈值批准票。我们发现,门槛批准投票是定性的上级,也表现良好的实验数据从真实的参与式预算选举。这篇论文被陈彦采纳,决策分析。
Participatory budgeting enables the allocation of public funds by collecting and aggregating individual preferences. It has already had a sizable real-world impact, but making the most of this new paradigm requires rethinking some of the basics of computational social choice, including the very way in which individuals express their preferences. We attempt to maximize social welfare by using observed votes as proxies for voters’ unknown underlying utilities, and analytically compare four preference elicitation methods: knapsack votes, rankings by value or value for money, and threshold approval votes. We find that threshold approval voting is qualitatively superior, and also performs well in experiments using data from real participatory budgeting elections. This paper was accepted by Yan Chen, decision analysis.
DOI: 10.1145/3340230
发表时间: 2019-08-01
影响因子: 1.2
作者:
Goel, Ashish;Krishnaswamy, Anilesh K.;Aitamurto, Tanja
通讯作者: Aitamurto, Tanja
采取任何必要手段进行高效、节俭的投票
DOI: --
发表时间: 2019
期刊: NeurIPS'19
影响因子: --
作者:
Mandal, D;Procaccia, AD;Shah, N;Woodruff, DP
通讯作者: Woodruff, DP
不可分割公共物品的公平分配
DOI: 10.1145/3219166.3219174
发表时间: 2018
期刊: Proceedings of the 2018 ACM Conference on Economics and Computation
影响因子: --
作者:
Fain, B;Munagala, K;Shah, N.
通讯作者: Shah, N.