1.  36
    One and Done? Optimal Decisions From Very Few Samples.Edward Vul, Noah Goodman, Thomas L. Griffiths & Joshua B. Tenenbaum - 2014 - Cognitive Science 38 (4):599-637.
    In many learning or inference tasks human behavior approximates that of a Bayesian ideal observer, suggesting that, at some level, cognition can be described as Bayesian inference. However, a number of findings have highlighted an intriguing mismatch between human behavior and standard assumptions about optimality: People often appear to make decisions based on just one or a few samples from the appropriate posterior probability distribution, rather than using the full distribution. Although sampling-based approximations are a common way to implement Bayesian (...)
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  2.  13
    Multiply-Constrained Semantic Search in the Remote Associates Test.Kevin A. Smith, David E. Huber & Edward Vul - 2013 - Cognition 128 (1):64-75.
  3.  56
    Sources of Uncertainty in Intuitive Physics.Kevin A. Smith & Edward Vul - 2013 - Topics in Cognitive Science 5 (1):185-199.
    Recent work suggests that people predict how objects interact in a manner consistent with Newtonian physics, but with additional uncertainty. However, the sources of uncertainty have not been examined. In this study, we measure perceptual noise in initial conditions and stochasticity in the physical model used to make predictions. Participants predicted the trajectory of a moving object through occluded motion and bounces, and we compared their behavior to an ideal observer model. We found that human judgments cannot be captured by (...)
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  4.  5
    Development of Infants’ Attention to Faces During the First Year.Michael C. Frank, Edward Vul & Scott P. Johnson - 2009 - Cognition 110 (2):160-170.
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  5.  15
    Reductionism and Practicality.Kevin Smith & Edward Vul - 2014 - Cosmos and History 10 (1):78-85.
    Like most domains of science, the study of the mind has been tackled at many scales of analysis, from the behavior of large groups of people, to the diffusion of ions across cellular membranes. At each of these scales, researchers often believe that the critical phenomena of interest, and the most powerful explanatory constructs and mechanisms, reside at their scale of analysis, with finer scales argued to be incapable of predicting the interesting phenomena, while coarser scales are purported to miss (...)
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  6.  9
    Attention as Inference: Selection is Probabilistic; Responses Are All-or-None Samples.Edward Vul, Deborah Hanus & Nancy Kanwisher - 2009 - Journal of Experimental Psychology: General 138 (4):546-560.
  7.  33
    The Role of Sequential Dependence in Creative Semantic Search.Kevin A. Smith & Edward Vul - 2015 - Topics in Cognitive Science 7 (3):543-546.
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