Titlebook: Game Theory for Data Science; Eliciting Truthful I Boi Faltings,Goran Radanovic Book 2017 The Editor(s) (if applicable) and The Author(s),

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Ernährungszustand geriatrischer Patienten. This case is actually quite frequent. It includes forecasts of weather, product sales, election outcomes and many other phenomena. Sometimes environmental measurements, such as pollution, can be verified on a cumulative basis at low cost. Crop diseases eventually become apparent.

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Transurethral Incision of the Prostate,we expect. This mainly happens in two cases. The first is . agents, who provide incorrect data in spite of their best efforts to be cooperative. Another case is . agents, who want to insert fake data to influence the aggregate for ulterior motives, for example to hide pollution or to influence a dec

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https://doi.org/10.1007/978-1-4899-3440-6l. This involves consideration of how the information agents are found and how they interact with the center, and how the center aggregates the data it receives into a model. In this chapter, we discuss issues that present themselves when designing the complete system so that the assumptions of the

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Principles of Alternating Copolymerization, designer. Since obtaining accurate data is costly, data providers need to be compensated for their effort. This requires that we can evaluate the quality of the data so that only accurate data is paid.

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Game Theory for Data Science978-3-031-01577-9Series ISSN 1939-4608 Series E-ISSN 1939-4616

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Zusammenfassung der Ergebnisse,In most cases, the ground truth is never known. For hotels and restaurants, there is no neutral evaluator that can verify the correctness of reviews. In distributed sensing, many quantities are never measured other than through crowd sensors. For predictions about hypothetical questions, we never obtain the ground truth.

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Altern, Müdigkeit und Entzündungen verstehenKnowing agent beliefs As we have seen, incentives for encouraging agents to be truthful hinge crucially on their . and the way they are affected by observations. Thus, the mechanisms we have seen in Chapter 3 all have some characterization of agent beliefs as a parameter.

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Auf-Brüche, Lebensläufe in DeutschlandAnother strategy for obtaining nonparametric mechanisms is to . the parameters from the data submitted by the agents themselves, during some fixed time interval. This works whenever we have agents providing data about multiple (and ideally many) very similar phenomena within a short time interval, as shown in Figure 5.1.