Game theory for data science : eliciting truthful information /
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 correct...
| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
[San Rafael, California] :
Morgan & Claypool Publishers,
[2017]
[San Rafael, California] : Morgan & Claypool, 2017 |
| Series: | Synthesis digital library of engineering and computer science
Synthesis lectures on artificial intelligence and machine learning ; #35 Synthesis lectures on artificial intelligence and machine learning ; #35 |
| Subjects: |
| Summary: | 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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| Item Description: | Part of: Synthesis digital library of engineering and computer science |
| Physical Description: | 1 PDF (xv, 135 pages) 1 online resource ( xv, 135 pages) : illustrations Also available in print |
| Format: | Mode of access: World Wide Web System requirements: Adobe Acrobat Reader |
| Bibliography: | Includes bibliographical references (pages 127-133) |
| ISBN: | 1627056084 9781627056083 |
| ISSN: | 1939-4616 ; |
| Access: | Abstract freely available; full-text restricted to subscribers or individual document purchasers ProQuest Non-Linear Lending |