Title: An Analytically tractable Mathematical Model of Present Bias
Speaker: Mr. Yasunori Akagi (Chief Researcher, NTT Human Information Laboratories)
Abstract: Present bias is a cognitive bias that causes overestimation of immediate gain or loss. This bias is known to cause time-inconsistent behaviors such as procrastination and task abandonment, which hinder actions to achieve long-term goals. Therefore, mathematical modeling of bias and derivation of appropriate interventions is currently an important research topic in the fields of behavioral economics and computer science. However, existing mathematical models have problems such as limited scope of tasks they can handle and difficulty in analyzing them, making it difficult to derive appropriate interventions. In this presentation, we introduce a new mathematical model of present bias proposed by the speakers. This model is capable of handling a wide variety of everyday tasks, yet it is analytically tractable and can efficiently derive optimal interventions.
- Date
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25th April, 2025（Fri,）18:00～20:00
- Venue
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Held online
- Organizer
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Co-organizer (HRAM The Japan Society for Industrial and Applied Mathematics, D-DRIVE National Network)
- Participation Fee
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Free（Advance registration required）
https://www-mmds.sigmath.es.osaka-u.ac.jp/structure/activity/ai_data.php?id=91
- web
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https://www-mmds.sigmath.es.osaka-u.ac.jp/structure/activity/ai_data.php?id=91
- Contact
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Takashi Suzuki
suzuki@sigmath.es.osaka-u.ac.jp