TY - JOUR
AU1 - Tversky, A
AU2 - Kahneman, D
AB - This article described three heuristics that are employed in making judgements under uncertainty: (i) representativeness, which is usually employed when people are asked to judge the probability that an object or event A belongs to class or process B; (ii) availability of instances or scenarios, which is often employed when people are asked to assess the frequency of a class or the plausibility of a particular development; and (iii) adjustment from an anchor, which is usually employed in numerical prediction when a relevant value is available. These heuristics are highly economical and usually effective, but they lead to systematic and predictable errors. A better understanding of these heuristics and of the biases to which they lead could improve judgements and decisions in situations of uncertainty.
TI - Judgment under Uncertainty: Heuristics and Biases.
JF - Science (New York, N.Y.)
DO - 10.1126/science.185.4157.1124
DA - 2010-07-02
UR - https://www.deepdyve.com/lp/pubmed/judgment-under-uncertainty-heuristics-and-biases-i7MGAKsEJU
SP - 1124
EP - 31
VL - 185
IS - 4157
DP - DeepDyve
ER -