Reasoning the fast and frugal way: models of bounded rationality.

@article{Gigerenzer1996ReasoningTF,
  title={Reasoning the fast and frugal way: models of bounded rationality.},
  author={Gerd Gigerenzer and Daniel G. Goldstein},
  journal={Psychological review},
  year={1996},
  volume={103 4},
  pages={
          650-69
        }
}
Humans and animals make inferences about the world under limited time and knowledge. In contrast, many models of rational inference treat the mind as a Laplacean Demon, equipped with unlimited time, knowledge, and computational might. Following H. Simon's notion of satisfying, the authors have proposed a family of algorithms based on a simple psychological mechanism: one-reason decision making. These fast and frugal algorithms violate fundamental tenets of classical rationality: They neither… 

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References

SHOWING 1-10 OF 138 REFERENCES
How to Improve Bayesian Reasoning Without Instruction: Frequency Formats
TLDR
By analyzing several thousand solutions to Bayesian problems, the authors found that when information was presented in frequency formats, statistically naive participants derived up to 50% of all inferences by Bayesian algorithms.
Probabilistic mental models: a Brunswikian theory of confidence.
TLDR
A comprehensive framework for the theory of probabilistic mental models (PMM theory) is proposed, which explains both the overconfidence effect and the hard-easy effect and predicts conditions under which both effects appear, disappear, or invert.
Rational choice and the structure of the environment.
  • H. Simon
  • Economics
    Psychological review
  • 1956
TLDR
A comparative examination of the models of adaptive behavior employed in psychology and economics shows that in almost all respects the latter postulate a much greater complexity in the choice mechanisms, and a much larger capacity in the organism for obtaining information and performing computations than do the former.
Journal of Experimental Psychology: Human Learning and Memory
People are often overconfident in evaluating the correctness of their knowledge. The present studies investigated the possibility that assessment of confidence is biased by attempts to justify one's
From Tools to Theories: A Heuristic of Discovery in Cognitive Psychology.
The study of scientific discovery--where do new ideas come from? has long been denigrated by philosophers as irrelevant to analyzing the growth of scientific knowledge. In particular, little is known
The Taming of Content: Some Thoughts About Domains and Modules
Peter Wason invented the Selection Task in 1966. Thirty years and many, many experiments later, two results are evident for me. First, the view that sound reasoning can be reduced to propositional
An explanation of the hard-easy effect in studies of realism of confidence in one's general knowledge
Abstract Recent ecological approaches to realism of confidence in general knowledge (Gigerenzer, Hoffrage & Kleinbolting, 1991; Juslin, in press) argue that people are well-calibrated to their
Confirmation, Disconfirmation, and Informa-tion in Hypothesis Testing
Strategies for hypothesis testing in scientific investigation and everyday reasoning have interested both psychologists and philosophers. A number of these scholars stress the importance of
On Narrow Norms and Vague Heuristics: A Reply to Kahneman and Tversky (1996)
This reply clarifies what G. Gigerenzers (e.g., 1991. 1994; Gigerenzer & Murray, 1987) critique of the heuristics-and-biases approach to statistical reasoning is and is not about. At issue is the
The Overconfidence Phenomenon as a Consequence of Informal Experimenter-Guided Selection of Almanac Items
Abstract The paper argues for an ecological approach to realism of confidence in general knowledge. It is stressed that choice of answer to almanac items and confidence judgments derive from
...
...