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The authors present a model of judgment under uncertainty, in which an agent combines data received from the external world with information retrieved from memory to evaluate a hypothesis. They focus on what comes to mind immediately, as the agent makes quick, intuitive evaluations. Because the automatic retrieval of data from memory is both limited and selected, the agent's evaluations may be severely biased. This framework can account for some of the evidence on heuristics and biases presented by Kahneman and Tversky, including conjunction and disjunction fallacies.
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