TY - GEN
T1 - Obtaining costly unverifiable valuations from a single agent
AU - Segal-Halevi, Erel
AU - Alkoby, Shani
AU - Sharbaf, Tomer
AU - Sarne, David
N1 - Publisher Copyright:
© 2019 International Foundation for Autonomous Agents and Multiagent Systems. All rights reserved.
PY - 2019
Y1 - 2019
N2 - We consider the problem of a principal who needs to elicit the true worth of an object she owns from an agent who has a unique ability to compute this information. The correctness of the information cannot be verified by the principal, so it is important to incentivize the agent to report truthfully. Previous works coped with this un-verifiability by employing two or more information agents and awarding them according to the correlation between their reports. In this paper we show that even with only one information agent truthful information can be elicited, as long as the object is valuable for the agent too. In particular the paper introduces a mechanism that, under mild realistic assumptions, is proved to elicit the information truthfully, even when computing the information is costly for the agent. Moreover, using this mechanism, the principal obtains the truthful information incurring an arbitrarily small expense beyond whatever unavoidable costs the setting dictates. Full version is available at https://arxiv.org/abs/1804.08314.
AB - We consider the problem of a principal who needs to elicit the true worth of an object she owns from an agent who has a unique ability to compute this information. The correctness of the information cannot be verified by the principal, so it is important to incentivize the agent to report truthfully. Previous works coped with this un-verifiability by employing two or more information agents and awarding them according to the correlation between their reports. In this paper we show that even with only one information agent truthful information can be elicited, as long as the object is valuable for the agent too. In particular the paper introduces a mechanism that, under mild realistic assumptions, is proved to elicit the information truthfully, even when computing the information is costly for the agent. Moreover, using this mechanism, the principal obtains the truthful information incurring an arbitrarily small expense beyond whatever unavoidable costs the setting dictates. Full version is available at https://arxiv.org/abs/1804.08314.
KW - Information elicitation
KW - Principal-agent
KW - Truthful mechanism
UR - http://www.scopus.com/inward/record.url?scp=85074901567&partnerID=8YFLogxK
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:85074901567
T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
SP - 1216
EP - 1224
BT - 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019
T2 - 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019
Y2 - 13 May 2019 through 17 May 2019
ER -