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a consequence of bias, the more distant one falls from the tree of the 'standard model citizen', the less one feels … decision-making …
Persistent link: https://www.econbiz.de/10013235765
Artificial intelligence (AI) is a key component in the field of antitrust, as it is utilized to analyze vast quantities of data with the aim of detecting indications of unjust business practices. This paper provides a comprehensive survey of the issue of algorithmic biases in computational...
Persistent link: https://www.econbiz.de/10014347220
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.g. gender, race, sugar) have a stronger effect when the attribute is mixed with others, and so the decision becomes less …
Persistent link: https://www.econbiz.de/10011415271
A committee of experts votes between a multi-attribute alternative and status quo. Each expert is a biased specialist who can privately evaluate only one attribute and puts more weight on it. We study whether a social-minded principal would compose the committee of more or less biased experts....
Persistent link: https://www.econbiz.de/10012117552
decision-making processes. Although heuristics tend to be very helpful, in many cases, they can lead to cognitive biases. This … do so, the study reviews different decision models in engineering design and consolidates them into one; here, called ABC … decision model - ABC stands for Allaying Biased Choices. This model consists of four phases describing four different decision …
Persistent link: https://www.econbiz.de/10012507350
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problem, or cognitive bias, which may be the result of erroneous heuristics. Furthermore, the author found that investor … can be understood as a state of ignorance of the decision maker, as a variance of possible outcomes, as a danger of … negative deviation or as a danger of wrong decision. The perception of risk can be divided to "Risk capacity" - ability to take …
Persistent link: https://www.econbiz.de/10013277182
-generation process, the least-squares estimators have smaller bias (in fact zero bias) but larger variances in the long regression than … in the short regression. But if the long regression is also misspecified, the bias may not be smaller. We provide bias …
Persistent link: https://www.econbiz.de/10010532602
As will be shown the current use of Desirability Indices for optimisation purposes in experimental design gives biased results in general. Researchers were satisfied with approximative solutions as unbiased results would have required analytical expressions for the distributions of Desirability...
Persistent link: https://www.econbiz.de/10009783559