Judgment under Uncertainty: Heuristics and Biases

@article{Tversky1974JudgmentUU,
  title={Judgment under Uncertainty: Heuristics and Biases},
  author={A. Tversky and D. Kahneman},
  journal={Science},
  year={1974},
  volume={185},
  pages={1124 - 1131}
}
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… Expand
Judgment under Uncertainty: Heuristics and Biases.
TLDR
Three heuristics that are employed in making judgements under uncertainty are described: representativeness, 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. Expand
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References

The Foundations of Statistics (Wiley
  • New York,
  • 1954