The Price of Uncertainty in Present-Biased Planning

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Tác giả: Susanne Albers, Dennis Kraft

Ngôn ngữ: eng

ISBN-13: 978-3319719245

Ký hiệu phân loại: 004.678 Internet (World Wide Web)

Thông tin xuất bản: Springer, 2017

Mô tả vật lý: 15

Bộ sưu tập: Tài liệu truy cập mở

ID: 188592

The tendency to overestimate immediate utility is a common cognitive bias. As a result people behave inconsistently over time and fail to reach long-term goals. Behavioral economics tries to help affected individuals by implementing external incentives. However, designing robust incentives is often difficult due to imperfect knowledge of the parameter ? ? (0, 1] quantifying a person?s present bias. Using the graphical model of Kleinberg and Oren [8], we approach this problem from an algorithmic perspective. Based on the assumption that the only information about ? is its membership in some set B ? (0, 1], we distinguish between two models of uncertainty: one in which ? is fixed and one in which it varies over time. As our main result we show that the conceptual loss of effi- ciency incurred by incentives in the form of penalty fees is at most 2 in the former and 1 + max B/ min B in the latter model. We also give asymptotically matching lower bounds and approximation algorithms.
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