Designing social networks for efficient learning

arXiv: Computer Science and Game Theory, Volume abs/1605.02489, 2016.

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Abstract:

We study structural properties for information aggregation in settings where self-interested agents take actions sequentially and partially observe each other. Agents optimize their choice of action based on some local information (or `private signalu0027) as well as conclusions they draw from observing actions taken by others. The litera...More

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