结果(博弈论)
代表性启发
规范性
心理学
集合(抽象数据类型)
背景(考古学)
社会心理学
认知心理学
计量经济学
计算机科学
数理经济学
数学
认识论
古生物学
哲学
程序设计语言
生物
标识
DOI:10.1207/s1532690xci0601_3
摘要
A model of informal reasoning under conditions of uncertainty, the outcome approach, was developed to account for the nonnormative responses of a subset of 16 undergraduates who were interviewed. For individuals who reason according to the outcome approach, the goal in questions of uncertainty is to predict the outcome of an individual trial. Their predictions take the form of yes-no decisions on whether an outcome will occur on a particular trial. These predictions are then evaluated as having been either right or wrong. Their predictions are often based on a deterministic model of the situation. In follow-up interviews using a different set of problems, responses of outcome-oriented participants were predicted. In one problem, their responses were at variance both with normative interpretations of probability and with the "representativeness heuristic" (Kahneman & Tversky, 1972). Although the outcome approach is inconsistent with formal theories of probability, its components are logically consistent and reasonable in the context of everyday decision making.
科研通智能强力驱动
Strongly Powered by AbleSci AI