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- The “less is more effect” (LIME) occurs when a recognition-dependent agent has a greater probability of choosing the better item than a more knowledgeable agent who recognizes more items.
www.cambridge.org/core/journals/judgment-and-decision-making/article/when-less-is-more-in-the-recognition-heuristic/83688D91BC4737A9AF28992C9EC38957When less is more in the recognition heuristic | Judgment and ...
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Is the less-is-more effect based on a simple model of imperfect recognition memory?
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Why do people use recognition differently?
Does recognition influence preferences?
Jan 1, 2023 · Based on a simple model of imperfect recognition memory, I derive a more general characterization of the less-is-more effect, which shows the important role of the probabilities of hits and false alarms for predicting the effect.
Jan 1, 2023 · Theoretically, the less-is-more effect has been integrated with cognitive models of recognition, within both standard signal detection theory (Pleskac [2007]) and multinomial processing tree (Erdfelder et al. [2011]) frameworks.
Jan 1, 2008 · Plot showing how use of the recognition heuristic can lead to a less-is-more effect. The recognition validity α is 80%, the knowledge validity β is 60%, the total number N of objects is 83, and the number n of objects recognized varies.
- Daniel G. Goldstein, Gerd Gigerenzer
- 2008
Jul 4, 2011 · We then review evidence for two bold prediction of the recognition heuristic: first, that when recognition knowledge discriminates between two objects, further cues are ignored; and second, that recognizing fewer objects can lead to higher inferential accuracy (the less-is-more effect).
Jan 1, 2023 · We demonstrate that, for 2-alternative forced-choice decision tasks, less-is-more effects (reduced performance with additional learning) are not restricted to recognition-based inference but can also be seen in circumstances where inference is knowledge-based but item knowledge is limited.
Jul 1, 2010 · Based on a simple model of imperfect recognition memory, I derive a more general characterization of the less-is-more effect, which shows the important role of the probabilities of hits and false...
Based on a simple model of imperfect recognition memory, I derive a more general characterization of the less-is-more effect, which shows the important role of the probabilities of hits and false alarms for predicting the effect.
