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Amazon is one of the top online retailers, but there are plenty of other sites like it.

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ACM Transactions on Economics and Computation - Special Issue on Algorithmic Game Theory: Volume 1 Issue 2, May 2013.

In order to successfully aggregate the predictions of agents, the principal needs to elicit some notion of confidence from agents, capturing how much experience or knowledge led to their predictions.Efficient parking allocation as online bipartite matching with posted prices.

We design mechanisms for online procurement of data held by strategic agents for machine learning tasks.

On Amazon Mechanical Turk, micro jobs are called as. they give you equivalent Bitcoins.Mechanical Turk is an Amazon-owned marketplace for small tasks that has been around for 11.We study the problem of eliciting and aggregating probabilistic information from multiple agents.Amazon Mechanical Turk Type of. points are converted to bitcoins at the prevailing BTC.Regulators have ordered Chinese bitcoin exchanges to close,.Unocoin, an India-based bitcoin exchange, has joined hands with Purse.io to complete the cycle from Mechanical Turk to Indian rupees. Purse.io, a Bitcoin startup, was.For discussion and sharing of MTurk tips and tricks, scam alerts, research studies, and all things Mechanical Turk related.

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The primary goal of a prediction market is to elicit and aggregate information about some future event of interest.

Planet Money The economy, explained, with stories and surprises.However, if the market prediction will be used for decision making, a strategic participant with a vested interest in the decision outcome may manipulate the market prediction to influence.Hatem El-Gamasy often appears as a pundit for Egyptian television news programs.Each agent has different private information to incorporate into its search.Much evidence has shown that prediction markets can effectively aggregate dispersed information about uncertain future events and produce remarkably accurate forecasts.The ACM Digital Library is published by the Association for Computing Machinery.The challenge is to use past data to actively price future data in order.

We create a formal framework for the design of informative securities in prediction markets.

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Many of these markets compensate workers with monetary payments.The Fisher market model is one of the most fundamental resource allocation models in economics.International Foundation for Autonomous Agents and Multiagent Systems.

We study online bipartite matching settings inspired by parking allocation problems, where rational agents arrive sequentially and select their most preferred parking slot.

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Training data, machine learning, and human-in-the-loop for (AI) artificial intelligence in a single, essential platform for data science teams.Recent work has constructed economic mechanisms that are both truthful and differentially private.While peer prediction mechanisms promise to elicit truthful information by rewarding participants with carefully constructed payments, they also admit uninformative equilibria where coordinating participants provide no useful information.Online labor markets such as Amazon Mechanical Turk (MTurk) have emerged as platforms that facilitate the allocation of productive effort across global economies.