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Attentional Theory Is a Viable Explanation of the Inverse Base Rate Effect: A Reply to Winman, Wennerholm, and Juslin (2003).
4 references·6 citing·28 second hop
Attentional Theory Is a Viable Explanation of the Inverse Base Rate Effect: A Reply to Winman, Wennerholm, and Juslin (2003). (2003)Attentional Theory Is a Viable Explanatio…High-level reasoning and base-rate use: Do we need cue-competition to explain the inverse base-rate effect? (2001)High-level reasoning and base…A model of probabilistic category learning. (1999)A model of probabilistic cate…ALCOVE: An exemplar-based connectionist model of category learning. (1992)ALCOVE: An exemplar-based con…Problem structure and the use of base-rate information from experience. (1988)Problem structure and the use…Effect of a context shift on the inverse base-rate effect (2022)Effect of a context shift on …Hearing hooves, thinking zebras: A review of the inverse base-rate effect (2021)Hearing hooves, thinking zebr…Expecting the unexpected: Base-rate neglect is driven by neural activation of common cues (2017)Expecting the unexpected: Bas…Effects of outcome and trial frequency on the inverse base-rate effect (2016)Effects of outcome and trial …Illusory Correlation and the Inverse Base Rate Effect: Different Underlying Mechanisms (2014)Illusory Correlation and the …Paradoxical effects of base rates and representation in category learning (2007)Paradoxical effects of base r…On the psychology of prediction. (1973)Context theory of classification learning. (1978)Attention, similarity, and the identification-categorization relationship. (1986)Features of similarity. (1977)Exemplar dynamics (2001)Word learning as Bayesian inference. (2007)Darwin's mistake: Explaining the discontinuity between human and nonhuman minds (2008)Judgment under Uncertainty: Heuristics and Biases (1975)Human Inference: Strategies and Shortcomings of Social Judgment. (1983)Rules and exemplars in categorization, identification, and recognition. (1989)Causal Status as a Determinant of Feature Centrality (2000)Individual Choice Behavior (1962)Are there representational shifts during category learning? (2002)Exemplar effects in categorization and multiple-cue judgment. (2003)The White standard: Racial bias in leader categorization. (2008)Likableness ratings of 555 personality-trait words. (1968)The adaptive nature of human categorization. (1991)Base rates in category learning. (1996)The inverse base-rate effect is not explained by eliminative inference. (2001)Attention biases in the inverse base-rate effect persist into new learning (2020)The effects of concurrent task interference on category learning: Evidence for multiple category learning systems (2001)Human Category Learning (2004)Availability: A heuristic for judging frequency and probability (1973)Judgment under Uncertainty: Heuristics and Biases (1974)g-distance: On the comparison of model and human heterogeneity (2023)Evidence for Rule-Based Processes in the Inverse Base-Rate Effect (2004)Model-based fMRI reveals dissimilarity processes underlying base rate neglect (2018)Learned predictiveness models predict opposite attention biases in the inverse base-rate effect. (2019)
this work references cited by second hop

References

  • 1992ALCOVE: An exemplar-based connectionist model of category learning.1,582 cited
  • 1988Problem structure and the use of base-rate information from experience.286 cited
  • 1999A model of probabilistic category learning.247 cited
  • 2001High-level reasoning and base-rate use: Do we need cue-competition to explain the inverse base-rate effect?37 cited

Cited by

  • 2007Paradoxical effects of base rates and representation in category learning16 cited
  • 2016Effects of outcome and trial frequency on the inverse base-rate effect9 cited
  • 2021Hearing hooves, thinking zebras: A review of the inverse base-rate effect8 cited
  • 2022Effect of a context shift on the inverse base-rate effect5 cited
  • 2014Illusory Correlation and the Inverse Base Rate Effect: Different Underlying Mechanisms2 cited
  • 2017Expecting the unexpected: Base-rate neglect is driven by neural activation of common cues0 cited

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