What Comes to Mind
提出了一个不确定性下的判断模型，个体结合外部数据和记忆检索来评估假设，重点分析即时直觉评估中的偏差，解释了合取谬误等经典现象。
We 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. We 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.