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Bibliographic Details
Main Authors: de Oliveira, Henrique, Ishii, Yuhta, Lin, Xiao
Format: Preprint
Published: 2021
Subjects:
Online Access:https://arxiv.org/abs/2106.00088
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author de Oliveira, Henrique
Ishii, Yuhta
Lin, Xiao
author_facet de Oliveira, Henrique
Ishii, Yuhta
Lin, Xiao
contents An agent makes decisions based on multiple sources of information. In isolation, each source is well understood, but their correlation is unknown. We study the agent's robustly optimal strategies -- those that give the best possible guaranteed payoff, even under the worst possible correlation. With two states and two actions, we show that a robustly optimal strategy uses a single information source, ignoring all others. In general decision problems, robustly optimal strategies combine multiple sources of information, but the number of information sources that are needed has a bound that only depends on the decision problem. These findings provide a new rationale for why information is ignored.
format Preprint
id arxiv_https___arxiv_org_abs_2106_00088
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Robust Aggregation of Correlated Information
de Oliveira, Henrique
Ishii, Yuhta
Lin, Xiao
Theoretical Economics
An agent makes decisions based on multiple sources of information. In isolation, each source is well understood, but their correlation is unknown. We study the agent's robustly optimal strategies -- those that give the best possible guaranteed payoff, even under the worst possible correlation. With two states and two actions, we show that a robustly optimal strategy uses a single information source, ignoring all others. In general decision problems, robustly optimal strategies combine multiple sources of information, but the number of information sources that are needed has a bound that only depends on the decision problem. These findings provide a new rationale for why information is ignored.
title Robust Aggregation of Correlated Information
topic Theoretical Economics
url https://arxiv.org/abs/2106.00088