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  <subfield code="a">delft2024</subfield> 
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<subfield code="p">TRANSP-OR</subfield>
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<subfield code="a">TALK</subfield>
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  <subfield code="a">Bierlaire, Michel</subfield> 
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Irrational Behavior and Optimization</subfield>
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<subfield code="c">2024</subfield>
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Seminar of the Department of Mechanical Engineering</subfield>
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TU Delft, The Netherlands</subfield>
<subfield code="d">October 16, 2024</subfield>
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Choice models are powerful tools for capturing complex types of human behavior, including apparent irrationality. However, this often comes at the expense of increased mathematical complexity. Specifically, these models typically lack properties like closed-form solutions and convexity, which makes it challenging to incorporate them into optimization frameworks. In this talk, we will begin by presenting examples of seemingly irrational behavior that are important to capture. We will then introduce a methodology that allows these models (in fact, almost any choice model) to be integrated into an optimization framework. Additionally, we will offer some strategies for managing the inherent complexity of these models.</subfield>
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