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Robust mechanisms for information elicitation
2006
Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems - AAMAS '06
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We propose designing elicitation mechanisms that will be robust to small changes in belief. ...
We study information elicitation mechanisms in which a principal agent attempts to elicit the private information of other agents using a carefully selected payment scheme based on proper scoring rules ...
Our Scenario In this paper, we explore mechanisms for information elicitation. ...
doi:10.1145/1160633.1160849
dblp:conf/atal/ZoharR06
fatcat:ctyl52c4gzhfjbpepsq4elsy7a
Mechanisms for information elicitation
2008
Artificial Intelligence
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Each algorithm has a different set of cases for which it is most suitable. Finally, we examine elicitation mechanisms that elicit the confidence rating of the seller regarding its information. ...
We study the computational aspects of information elicitation mechanisms in which a principal attempts to elicit the private information of other agents using a carefully selected payment scheme based ...
Preliminary material from this paper appeared at the Twenty-First National Conference on Artificial Intelligence (AAAI'06), in the papers "Robust Mechanisms for Information Elicitation" [37] and "Mechanisms ...
doi:10.1016/j.artint.2008.08.005
fatcat:o2b2qtfuxvcihef4al7iatmlc4
Page 1419 of Journal of Cognitive Neuroscience Vol. 18, Issue 8
[page]
2006
Journal of Cognitive Neuroscience
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for other processing mechanisms. ...
The sensitivity to global, face-like N170
configurations is demonstrated by the robust effect elicited by schematic faces
The difference between the consequences of global and local face processing mechanisms ...
Using Multiple Criteria Decision Analysis (MCDA) to make coverage decisions: a methodological framework
2015
Journal of Pharmaceutical Policy and Practice
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eliciting preferences for a wider set of criteria leading to a more complete assessment of value; and, second, the process of preference elicitation is informed by direct stakeholder participation. ...
Policies targeted A methodological framework to inform the value assessment of new medical technologies which can help determine coverage decisions and, possibly, pricing mechanisms. ...
eliciting preferences for a wider set of criteria leading to a more complete assessment of value; and, second, the process of preference elicitation is informed by direct stakeholder participation. ...
doi:10.1186/2052-3211-8-s1-o7
fatcat:le5dxsmeivccjep3h37yfmm3ru
Information Elicitation Meets Clustering
[article]
2021
arXiv
pre-print
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It is based on a new clustering method, Determinant MaxImization (DMI)-clustering, and a key conceptual idea that information elicitation without ground-truth can be seen as a clustering problem. ...
Here in the setting where a large number of people are asked to answer a small number of multi-choice questions (multi-task, large group), we propose an information aggregation method that is robust to ...
information elicitation mechanism that 1) aggregates information in a way that is robust to people's strategies when the number of agents is infinite, 2) reduces the payment variance in some scenarios ...
arXiv:2110.00952v1
fatcat:kfhexnz3mrbpbmhbggqhgkln6a
Eliciting Categorical Data for Optimal Aggregation
2016
Neural Information Processing Systems
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In this paper, we develop a Bayesian model, wherein agents have differing quality of information, but also respond to incentives. ...
The former often leads to tractable aggregation of elicited data, while the latter usually focuses on optimal elicitation and does not consider aggregation. ...
Acknowledgments We thank the anonymous reviewers for their helpful comments. This research was partially supported by NSF grant CCF-1512964, NSF grant CCF-1301976, and ONR grant N00014-15-1-2335. ...
dblp:conf/nips/HoFC16
fatcat:np2nqfmhmbanzcv74yga6yxvi4
Decision Analysis Framework for Risk Management of Crude Oil Pipeline System
2011
Advances in Decision Sciences
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Specifically, structured expert judgment is used to provide frequency of failure assessments for identified failure mechanisms of the pipeline. ...
In addition, AHP approach is utilized to obtain relative failure likelihood for attributes of failure mechanisms with very low probability of occurrence. ...
All the experts that participated in this research are also appreciated for their useful contributions. ...
doi:10.1155/2011/456824
fatcat:gavwa23rvffohfpomo3h3jgg4i
Incentives for Federated Learning: a Hypothesis Elicitation Approach
[article]
2020
arXiv
pre-print
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Our results build on the literature of information elicitation, but focus on the questions of eliciting hypothesis (rather than eliciting human predictions). ...
We study the market implementation, accuracy as well as robustness properties of our proposed solution too. We verify the effectiveness of our methods using MNIST and CIFAR-10 datasets. ...
Robust elicitation Running a peer prediction mechanism with verifications coming only from peer agents is vulnerable when facing collusion. ...
arXiv:2007.10596v1
fatcat:novdgypi5bexhl6lzabd26wici
Processing the Trees and the Forest during Initial Stages of Face Perception: Electrophysiological Evidence
2006
Journal of Cognitive Neuroscience
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In contrast to a robust N170 effect elicited by line-drawn schematic faces compared to line-drawn schematic objects, no N170 effect was found if a pair of small objects substituted for the eyes in schematic ...
However, if a pair of two miniaturized faces substituted for the eyes, the N170 effect was restored. ...
compete for other processing mechanisms. ...
doi:10.1162/jocn.2006.18.8.1406
pmid:16859424
fatcat:qrzqft7xujd2zclbrqqa5orwca
A Robust Bayesian Truth Serum for Small Populations
2021
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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In this paper, we present a robust BTS for the elicitation of binary information which is incentive compatible for every n >= 3, taking advantage of a particularity of the quadratic scoring rule. ...
The robust BTS is the first peer prediction mechanism to provide strict incentive compatibility for every n >= 3 without relying on knowledge of the common prior. ...
Acknowledgments We thank Yiling Chen for early discussions on the Bayesian Truth Serum, and the anonymous reviewers for useful comments and feedback. This work is supported in part by NSF Grant No. ...
doi:10.1609/aaai.v26i1.8261
fatcat:pgf475cfwfbkvjcdtdvbi4fffm
A Robust Bayesian Truth Serum for Non-Binary Signals
2013
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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The robust Bayesian truth serum (RBTS) for small populations and binary signals is particularly interesting since it does not require a common prior to be known to the mechanism. ...
Several mechanisms have been proposed for incentivizing truthful reports of a private signals owned by rational agents, among them the peer prediction method and the Bayesian truth serum. ...
We thank the anonymous reviewers for useful comments and feedback. ...
doi:10.1609/aaai.v27i1.8677
fatcat:2orxdxgikvcqbct2jsm23khe2y
"I know something you don't know": Discourse and social context effects on the N400 in adolescents
2017
Journal of Experimental Child Psychology
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Adolescence is an interesting developmental stage at which to investigate joint comprehension, because (1) lexical-semantic processing elicits robust effects that are in many ways similar to those seen ...
The average response from the three electrodes showing the most robust response within in the cluster (C3, Cz, C4) was used for all further analyses across sentence conditions. ...
doi:10.1016/j.jecp.2017.06.016
pmid:28779699
fatcat:u3uf3yx6cnck7bymyhhr6mfeou
Placebo Analgesia, Acupuncture and Sham Surgery
2011
Evidence-Based Complementary and Alternative Medicine
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Understanding how invasive procedures can elicit enhanced placebo responses may provide new insights into mechanisms underlying placebo analgesia. ...
Sham surgery and acupuncture are good examples of placebo interventions, which generate robust placebo responses through simultaneously manipulating such three factors. ...
the knee, which elicit robust analgesic effects in the knee, are no less effective for knee pain than real procedures [60] . ...
doi:10.1093/ecam/neq030
pmid:21785643
pmcid:PMC3139509
fatcat:wddrkhnxibdlxcgesxsby6gjem
A decision-theoretic approach to Bayesian clinical trial design and evaluation of robustness to prior-data conflict
2020
Biostatistics
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Robust analysis prior specifications, which gradually discount potentially conflicting prior information, are also included for comparison. ...
Bayesian clinical trials allow taking advantage of relevant external information through the elicitation of prior distributions, which influence Bayesian posterior parameter estimates and test decisions ...
ACKNOWLEDGMENTS The authors wish to thank the associate editor and two anonymous reviewers for their insightful and constructive comments which have helped in improving the manuscript. ...
doi:10.1093/biostatistics/kxaa027
pmid:32735010
pmcid:PMC9118338
fatcat:pahg5bn5qjgfpccsu3npoddvfy
Clincal interpretation of the anti-tuberculosis drug concentrations in diabetic and non-diabetic tuberculosis patients
2017
European Journal of Clinical Pharmacology
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In estimating the plasma drug concentrations, a multiple timepoint sample collection aimed at demonstrating the AUC would have been more informative and robust rather than a single time point sample collection ...
In spite of failing to add new information on the mechanisms behind the association of diabetes mellitus and poorer outcome in tuberculosis patients, the study brings to light the possibility of exploring ...
In estimating the plasma drug concentrations, a multiple timepoint sample collection aimed at demonstrating the AUC would have been more informative and robust rather than a single time point sample collection ...
doi:10.1007/s00228-017-2244-0
pmid:28417149
fatcat:lphmikuhbndlvogonw7lcjedg4
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