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Definition 10 of the paper entitled “Prediction Mechanisms That Do Not Incentivize Undesirable Actions” contains an error. Here is the correction:
Definition 10. We say a proper scoring rule provides incentive c if the agent cannot guarantee within c of the optimal expected payment by giving some constant dummy report \(\vec{r}\). (More precisely, ∀ dummy report \(\vec{r}\), ∃ distribution \(\vec{p}\) under which reporting truthfully instead of reporting the dummy value \(\vec{r}\) pays off by at least c: \(\tilde{S}(\vec{p},\vec{p}) - \tilde{S}(\vec{r},\vec{p}) \ge c\).) A one-round prediction mechanism guarantees incentive c if for each agent j and each combination of others’ reports r − j , the corresponding proper scoring rule provides incentive c.
This work is supported by NSF IIS-0812113, the Sloan Foundation, and a Yahoo! Faculty Research Grant. We thank the anonymous reviewers for helpful comments.
The original online version for this chapter can be found at http://dx.doi.org/10.1007/978-3-642-10841-9_10
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Shi, P., Conitzer, V., Guo, M. (2009). Erratum to: Prediction Mechanisms That Do Not Incentivize Undesirable Actions . In: Leonardi, S. (eds) Internet and Network Economics. WINE 2009. Lecture Notes in Computer Science, vol 5929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10841-9_66
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DOI: https://doi.org/10.1007/978-3-642-10841-9_66
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