Mechanism design for eliciting probabilistic estimates from multiple suppliers with unknown costs and limited precision

Papakonstantinou, Athanasios, Rogers, Alex, Gerding, Enrico and Jennings, Nicholas (2009) Mechanism design for eliciting probabilistic estimates from multiple suppliers with unknown costs and limited precision. In, Proceedings of the Eleventh International Workshop on Agent Mediated Electronic Commerce (AMEC 2009), Budapest, HU, 12 May 2009. 14pp.


[img] PDF - Accepted Manuscript
Download (175Kb)


This paper reports on the design of a novel two-stage mechanism, based on strictly proper scoring rules, that allows a centre to acquire a costly probabilistic estimate of some unknown parameter, by eliciting and fusing estimates from multiple suppliers. Each of these suppliers is capable of producing a probabilistic estimate of any precision, up to a privately known maximum, and by fusing several low precision estimates together the centre is able to obtain a single estimate with a specified minimum precision. Specifically, in the mechanism's first stage M from N agents are pre-selected by eliciting their privately known costs. In the second stage, these M agents are sequentially approached in a random order and their private maximum precision is elicited. A payment rule, based on a strictly proper scoring rule, then incentivises them to make and truthfully report an estimate of this maximum precision, which the centre fuses with others until it achieves its specified precision. We formally prove that the mechanism is incentive compatible regarding the costs, maximum precisions and estimates, and that it is individually rational. We present empirical results showing that our mechanism describes a family of possible ways to perform the pre-selection in the first stage, and formally prove that there is one that dominates all others.

Item Type: Conference or Workshop Item (Paper)
Related URLs:
Keywords: multi agent systems, mechanism design, scoring rules
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Agents, Interactions & Complexity
ePrint ID: 267198
Accepted Date and Publication Date:
May 2009Delivered
1 March 2009Made publicly available
Date Deposited: 18 Mar 2009 15:42
Last Modified: 31 Mar 2016 14:14
Further Information:Google Scholar

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics