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e-book

Game Theory for Data Science - Eliciting Truthful Information (Cód: 9957457)

Faltings, Boi; Goran Radanovic

Morgan and Claypool Publishers (Livros Digitais)

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Game Theory for Data Science - Eliciting Truthful Information

R$155,88

Descrição

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.

Características

Peso 0.00 Kg
Produto sob encomenda Sim
Marca Morgan and Claypool Publishers (Livros Digitais)
Número de Páginas 151 (aproximado)
Idioma 337
Acabamento e-book
Territorialidade Internacional
Formato Livro Digital Pdf
Gratuito Não
Proteção Drm Sim
Tamanho do Arquivo 3685
Início da Venda 19/09/2017
Código do Formato Pdf
Cód. Barras 9781627056083
Ano da Publicação 2017
AutorFaltings, Boi; Goran Radanovic