Article ; Online: Bayesian Decision-Making Under Uncertainty in Borderline Personality Disorder.
Journal of personality disorders
2024 Volume 38, Issue 1, Page(s) 53–74
Abstract: Bayesian decision theory suggests that optimal decision-making should use and weigh prior beliefs with current information, according to their relative uncertainties. However, some characteristics of borderline personality disorder (BPD) patients, such ... ...
Abstract | Bayesian decision theory suggests that optimal decision-making should use and weigh prior beliefs with current information, according to their relative uncertainties. However, some characteristics of borderline personality disorder (BPD) patients, such as fast, drastic changes in the overall perception of themselves and others, suggest they may be underrelying on priors. Here, we investigated if BPD patients have a general deficit in relying on or combining prior with current information. We analyzed this by having BPD patients ( |
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MeSH term(s) | Humans ; Bayes Theorem ; Borderline Personality Disorder ; Learning ; Uncertainty ; Clinical Decision-Making |
Language | English |
Publishing date | 2024-02-07 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 639252-0 |
ISSN | 1943-2763 ; 0885-579X |
ISSN (online) | 1943-2763 |
ISSN | 0885-579X |
DOI | 10.1521/pedi.2024.38.1.53 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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