دورية أكاديمية
Bayes Optimal Integration of Social and Endogenous Uncertainty in Numerosity Estimation
| العنوان: | Bayes Optimal Integration of Social and Endogenous Uncertainty in Numerosity Estimation |
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| اللغة: | English |
| المؤلفون: | Tutku Öztel (ORCID |
| المصدر: | Cognitive Science. 2024 48(4). |
| الإتاحة: | Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us |
| Peer Reviewed: | Y |
| Page Count: | 13 |
| تاريخ النشر: | 2024 |
| نوع الوثيقة: | Journal Articles Reports - Research |
| Descriptors: | Bayesian Statistics, Computation, Social Influences, Decision Making, Social Behavior, Social Cognition, Metacognition |
| DOI: | 10.1111/cogs.13447 |
| تدمد: | 0364-0213 1551-6709 |
| مستخلص: | One of the most prominent social influences on human decision making is conformity, which is even more prominent when the perceptual information is ambiguous. The Bayes optimal solution to this problem entails weighting the relative reliability of cognitive information and perceptual signals in constructing the percept from self-sourced/endogenous and social sources, respectively. The current study investigated whether humans integrate the statistics (i.e., mean and variance) of endogenous perceptual and social information in a Bayes optimal way while estimating numerosities. Our results demonstrated adjustment of initial estimations toward group means only when group estimations were more reliable (or "certain"), compared to participants' endogenous metric uncertainty. Our results support Bayes optimal social conformity while also pointing to an implicit form of metacognition. |
| Abstractor: | As Provided |
| ملاحظات: | https://osf.io/7nvxc/?view_only=f32454e46c694cf98f26845bd599a2ae |
| Entry Date: | 2024 |
| رقم الأكسشن: | EJ1424382 |
| قاعدة البيانات: | ERIC |
Full Text Finder | تدمد: | 0364-0213 1551-6709 |
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| DOI: | 10.1111/cogs.13447 |