Results 11 to 20 of about 8,961,288 (283)
On the generality and cognitive basis of base-rate neglect [PDF]
ABSTRACT Base rate neglect refers to people’s apparent tendency to underweight or even ignore base rate information when estimating posterior probabilities for events, such as the probability that a person with a positive cancer-test outcome actually does have cancer.
Elina Stengård +3 more
core +9 more sources
Base rate neglect in computer science education
Machine learning (ML) algorithms are gaining increased importance in many academic and industrial applications, and such algorithms are, accordingly, becoming common components in computer science curricula. Learning ML is challenging not only due to its complex mathematical and algorithmic aspects, but also due to a) the complexity of using correctly ...
Koby Mike, Orit Hazzan
openaire +4 more sources
Base-Rate Neglect and Imperfect Information Acquisition [PDF]
Base-rate neglect is a robust experimental finding that individuals do not update their prior beliefs according to the Bayes' rule and, typically, underestimate their posterior probabilities. Another empirical finding is that individuals often do not acquire information even when there are no strategic considerations and the cost of new information is ...
Wichardt, Philipp C, Blavatskyy, Pavlo R
core +5 more sources
The Surprising Benefits of Base Rate Neglect in Robust Aggregation [PDF]
Robust aggregation integrates predictions from multiple experts without knowledge of the experts' information structures. Prior work assumes experts are Bayesian, providing predictions as perfect posteriors based on their signals. However, real-world experts often deviate systematically from Bayesian reasoning.
Yuqing Kong, Shu Wang, Ying Wang 0094
core +5 more sources
Base Rate Neglect in Linguistic Category Learning. [PDF]
This paper presents a categorization experiment supporting the hypothesis that base-rate-neglect occurs in linguistic category learning (and, thus, is a cross-domain phenomenon), and that it is more likely for those learners who engage in explicit problem-solving, rather than implicit learning.
Pertsova, Katya +3 more
openaire +3 more sources
Debiasing System 1: Training favours logical over stereotypical intuiting [PDF]
Whereas people’s reasoning is often biased by intuitive stereotypical associations, recent debiasing studies suggest that performance can be boosted by short training interventions that stress the underlying problem logic.
Esther Boissin +3 more
doaj +3 more sources
Strange but true: Corroboration and base rate neglect. [PDF]
How do we deal with unlikely witness testimonies? Whether in legal or everyday reasoning, corroborative evidence is generally considered a strong marker of support for the reported hypothesis. However, questions remain regarding how the prior probability, or base rate, of that hypothesis interacts with corroboration.
Toby D. Pilditch +2 more
openaire +3 more sources
Conflict detection and base-rate extremity
People tend to ignore the probabilistic rules cued by the base-rate information and rely on the heuristic intuition cued by the descriptive information to make “stereotypical” responses in base-rate problems.
Jianyong Yang +3 more
doaj +1 more source
The environmental malleability of base-rate neglect [PDF]
Across two experiments (N=799) we demonstrate that people's use of quantitative information (e.g., base-rates) when making a judgment varies as the causal link of qualitative information (e.g., stereotypes) changes. That is, when a clear causal link for stereotypes is provided, people make judgments that are far more in line with them.
Martin Harry, Turpin +5 more
openaire +2 more sources
Many studies have shown that using a computer-aided detection (CAD) system does not significantly improve diagnostic accuracy in radiology, possibly because radiologists fail to interpret the CAD results properly.
Fallon Branch +3 more
doaj +1 more source

