Measuring the crowd within: probabilistic representations within individuals.
about
Internal consistency, retest reliability, and their implications for personality scale validityModelling Influence and Opinion Evolution in Online Collective BehaviourIntegration of Social Information by Human GroupsMeasuring the crowd within again: a pre-registered replication studyGoal-directed decision making as probabilistic inference: a computational framework and potential neural correlates.On the origins of suboptimality in human probabilistic inferenceFacilitating stable representations: serial dependence in vision.Smaller is better (when sampling from the crowd within): Low memory-span individuals benefit more from multiple opportunities for estimation.Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neuronsProbabilistic inference in general graphical models through sampling in stochastic networks of spiking neuronsStatistically optimal perception and learning: from behavior to neural representationsHow social influence can undermine the wisdom of crowd effect.People's hypercorrection of high-confidence errors: did they know it all along?The curious anomaly of skewed judgment distributions and systematic error in the wisdom of crowds.Phonotactic probability of brand names: I'd buy that!Modeling the Evolution of Beliefs Using an Attentional Focus Mechanism.Knowing the crowd within: Metacognitive limits on combining multiple judgments.Bayesian models of child development.Scalar utility theory and proportional processing: What does it actually imply?One and done? Optimal decisions from very few samples.Learning Probabilistic Inference through Spike-Timing-Dependent Plasticity.Stochastic computations in cortical microcircuit models.Conflict and metacognitive control: the mismatch-monitoring hypothesis of how others' knowledge states affect recallMore than words: Adults learn probabilities over categories and relationships between themExamining reproducibility in psychology: A hybrid method for combining a statistically significant original study and a replication.The wisdom of the crowd playing The Price Is Right.The crowd within and the benefits of dialectical bootstrapping: a reply to White and Antonakis (2013).Perceptual judgments made better by indirect interactions: Evidence from a joint localization task.The wisdom of the crowd in combinatorial problems.Views That Are Shared With Others Are Expressed With Greater Confidence and Greater Fluency Independent of Any Social Influence.Independent sampling of features enables conscious perception of bound objects.Two to tango: effects of collaboration and disagreement on dyadic judgment.A Model-Based Approach to the Wisdom of the Crowd in Category Learning.Delaying feedback by three seconds benefits retention of face-name pairs: the role of active anticipatory processing.When are two heads better than one and why?Attention as inference: selection is probabilistic; responses are all-or-none samples.Because Hitler did it! Quantitative tests of Bayesian argumentation usingad hominemA resource-rational theory of set size effects in human visual working memory“Biases” in Adaptive Natural Resource ManagementSome Questions to Begin with
P2860
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P2860
Measuring the crowd within: probabilistic representations within individuals.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh-hant
name
Measuring the crowd within: probabilistic representations within individuals.
@en
Measuring the crowd within: probabilistic representations within individuals.
@nl
type
label
Measuring the crowd within: probabilistic representations within individuals.
@en
Measuring the crowd within: probabilistic representations within individuals.
@nl
prefLabel
Measuring the crowd within: probabilistic representations within individuals.
@en
Measuring the crowd within: probabilistic representations within individuals.
@nl
P2860
P1476
Measuring the crowd within: probabilistic representations within individuals.
@en
P2093
Edward Vul
Harold Pashler
P2860
P304
P356
10.1111/J.1467-9280.2008.02136.X
P577
2008-07-01T00:00:00Z