Attention elasticities and invariant information costs

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Tác giả: Dániel Csaba

Ngôn ngữ: eng

Ký hiệu phân loại: 003.54 Information theory

Thông tin xuất bản: 2021

Mô tả vật lý:

Bộ sưu tập: Metadata

ID: 166962

 We consider a generalization of rational inattention problems by measuring costs of information through the information radius (Sibson, 1969
  Verd\'u, 2015) of statistical experiments. We introduce a notion of attention elasticity measuring the sensitivity of attention strategies with respect to changes in incentives. We show how the introduced class of cost functions controls attention elasticities while the Shannon model restricts attention elasticity to be unity. We explore further differences and similarities relative to the Shannon model in relation to invariance, posterior separability, consideration sets, and the ability to learn events with certainty. Lastly, we provide an efficient alternating minimization method -- analogous to the Blahut-Arimoto algorithm -- to obtain optimal attention strategies.
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