Game Theory for Data Science

Game Theory for Data Science

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.

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Book Details  


Publisher: Morgan & Claypool Publishers (September 19, 2017)

Collection: Synthesis Lectures on Artificial Intelligence and Machine Learning

Page count: 151 pages

Language: English


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