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Paper Abstract and Keywords
Presentation 2021-12-17 13:40
Analysis and generalization of anchoring effects using a Bayesian update model
Tomoaki Hamada, Takashi Takekawa, Isao Ozawa (KUTE-TOKYO)
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the Bayesian brain hypothesis has been proposed in the field of neuroscience that Bayesian updates are used in making decisions based on uncertain input stimuli. In behavioral economics, the anchoring effect was known as a phenomenon in which later judgments were influenced by the numbers presented in advance, but Turner et al. Showed that the phenomenon can be explained by Bayesian update. After that, Ozawa et al. Could not explain the experimental fact that the model assuming the normal distribution of Turner et al. Takes a non-negative value when the variance of the answer is large and that the answer varies depending on the anchor value. And proposed a model to solve this. In this study, based on the model of Ozawa et al., We conducted experiments and verifications with the aim of constructing a model that can extract the characteristics of individual respondents from the parameters estimated without depending on the estimation range.
Keyword (in Japanese) (See Japanese page) 
(in English) Anchoring effect / Bayesian update / mathematical model / / / / /  
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Conference Information
Committee HCGSYMPO  
Conference Date 2021-12-15 - 2021-12-17 
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Place (in English) Online 
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Paper Information
Registration To HCGSYMPO 
Conference Code 2021-12-HCGSYMPO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis and generalization of anchoring effects using a Bayesian update model 
Sub Title (in English)  
Keyword(1) Anchoring effect  
Keyword(2) Bayesian update  
Keyword(3) mathematical model  
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1st Author's Name Tomoaki Hamada  
1st Author's Affiliation Kogakuin University of Technology & Engineering (KUTE-TOKYO)
2nd Author's Name Takashi Takekawa  
2nd Author's Affiliation Kogakuin University of Technology & Engineering (KUTE-TOKYO)
3rd Author's Name Isao Ozawa  
3rd Author's Affiliation Kogakuin University of Technology & Engineering (KUTE-TOKYO)
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Speaker Author-1 
Date Time 2021-12-17 13:40:00 
Presentation Time 90 minutes 
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