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Game Theory for Data Science

Eliciting Truthful Information

Boi Faltings, Goran Radanovic
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Description

Intelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation. Providing accurate and relevant data requires costly effort that agents may not always be willing to provide. Thus, it becomes important not only to verify the correctness of data, but also to provide incentives so that agents that provide high-quality data are rewarded while those that do not are discouraged by low rewards.

We cover different settings and the assumptions they admit, including sensing, human computation, peer grading, reviews, and predictions. We survey different incentive mechanisms, including proper scoring rules, prediction markets and peer prediction, Bayesian Truth Serum, Peer Truth Serum, Correlated Agreement, and the settings where each of them would be suitable. As an alternative, we also consider reputation mechanisms. We complement the game-theoretic analysis with practical examples of applications in prediction platforms, community sensing, and peer grading.

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Contenu

Nombre de pages :
135
Langue:
Anglais
Collection :

Caractéristiques

EAN:
9783031004490
Date de parution :
19-09-17
Format:
Livre broché
Format numérique:
Trade paperback (VS)
Dimensions :
190 mm x 235 mm
Poids :
272 g

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