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- W2153162913 abstract "Diagnostic hypothesis-generation processes are ubiquitous in human reasoning. For example, clinicians generate disease hypotheses to explain symptoms and help guide treatment, auditors generate hypotheses for identifying sources of accounting errors, and laypeople generate hypotheses to explain patterns of information (i.e., data) in the environment. The authors introduce a general model of human judgment aimed at describing how people generate hypotheses from memory and how these hypotheses serve as the basis of probability judgment and hypothesis testing. In 3 simulation studies, the authors illustrate the properties of the model, as well as its applicability to explaining several common findings in judgment and decision making, including how errors and biases in hypothesis generation can cascade into errors and biases in judgment." @default.
- W2153162913 created "2016-06-24" @default.
- W2153162913 creator A5006453556 @default.
- W2153162913 creator A5007801138 @default.
- W2153162913 creator A5058790810 @default.
- W2153162913 creator A5085447117 @default.
- W2153162913 date "2008-01-01" @default.
- W2153162913 modified "2023-09-26" @default.
- W2153162913 title "Diagnostic hypothesis generation and human judgment." @default.
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