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Game Theory for Data Science

Eliciting Truthful Information
BuchKartoniert, Paperback
135 Seiten
Englisch
Springererschienen am19.09.2017
Intelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR53,49
E-BookPDF1 - PDF WatermarkE-Book
EUR53,49

Produkt

KlappentextIntelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation.

Inhalt/Kritik

Inhaltsverzeichnis
Preface.- Acknowledgments.- Introduction.- Mechanisms for Verifiable Information.- Parametric Mechanisms for Unverifiable Information.- Nonparametric Mechanisms: Multiple Reports.- Nonparametric Mechanisms: Multiple Tasks.- Prediction Markets: Combining Elicitation and Aggregation.- Agents Motivated by Influence.- Decentralized Machine Learning.- Conclusions.- Bibliography.- Authors' Biographies .mehr

Autor

Boi Faltings is a full professor at Ecole Polytechnique Federale de Lausanne (EPFL) and has worked in AI since 1983. He is one of the pioneers on the topic of mechanisms for truthful information elicitation, with the first work dating back to 2003. He has taught AI and multi-agent systems to students at EPFL for 28 years. He is a fellow of AAAI and ECCAI and has served on program committee and editorial boards of the major conferences and journals in Artificial Intelligence.Goran Radanovic has been a post-doctoral fellow at Harvard University since 2016. He received his Ph.D. from the Swiss Federal Institute of Technology and has worked on the topic of mechanisms for information elicitation since 2011. His work has been published mainly at AI conferences.
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Radanovic, Goran