10 found
  1.  15
    Optimal Predictions in Everyday Cognition: The Wisdom of Individuals or Crowds?Michael C. Mozer, Harold Pashler & Hadjar Homaei - 2008 - Cognitive Science 32 (7):1133-1147.
    Griffiths and Tenenbaum (2006) asked individuals to make predictions about the duration or extent of everyday events (e.g., cake baking times), and reported that predictions were optimal, employing Bayesian inference based on veridical prior distributions. Although the predictions conformed strikingly to statistics of the world, they reflect averages over many individuals. On the conjecture that the accuracy of the group response is chiefly a consequence of aggregating across individuals, we constructed simple, heuristic approximations to the Bayesian model premised on the (...)
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  2.  12
    Sequential effects in response time reveal learning mechanisms and event representations.Matt Jones, Tim Curran, Michael C. Mozer & Matthew H. Wilder - 2013 - Psychological Review 120 (3):628-666.
  3.  22
    Unconscious cognition isn’t that smart: Modulation of masked repetition priming effect in the word naming task.Sachiko Kinoshita, Kenneth I. Forster & Michael C. Mozer - 2008 - Cognition 107 (2):623-649.
  4.  5
    Frames of reference in unilateral neglect and visual perception: A computational perspective.Michael C. Mozer - 2002 - Psychological Review 109 (1):156-185.
  5.  60
    Maximizing Students' Retention via Spaced Review: Practical Guidance From Computational Models of Memory.Mohammad M. Khajah, Robert V. Lindsey & Michael C. Mozer - 2014 - Topics in Cognitive Science 6 (1):157-169.
    During each school semester, students face an onslaught of material to be learned. Students work hard to achieve initial mastery of the material, but when they move on, the newly learned facts, concepts, and skills degrade in memory. Although both students and educators appreciate that review can help stabilize learning, time constraints result in a trade-off between acquiring new knowledge and preserving old knowledge. To use time efficiently, when should review take place? Experimental studies have shown benefits to long-term retention (...)
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  6. Space-and object-based attention.Michael C. Mozer & Shaun P. Vecera - 2005 - In Laurent Itti, Geraint Rees & John K. Tsotsos (eds.), Neurobiology of Attention. Academic Press. pp. 130--134.
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  7.  13
    Superadditive effects of multiple lesions in a connectionist architecture: Implications for the neuropsychology of optic aphasia.Mark Sitton, Michael C. Mozer & Martha J. Farah - 2000 - Psychological Review 107 (4):709-734.
  8.  55
    Reviewing erroneous information facilitates memory updating.Harold Pashler, Sean Hk Kang & Michael C. Mozer - 2013 - Cognition 128 (3):424-430.
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  9.  76
    Sequential Dependencies in Driving.Anup Doshi, Cuong Tran, Matthew H. Wilder, Michael C. Mozer & Mohan M. Trivedi - 2012 - Cognitive Science 36 (5):948-963.
    The effect of recent experience on current behavior has been studied extensively in simple laboratory tasks. We explore the nature of sequential effects in the more naturalistic setting of automobile driving. Driving is a safety-critical task in which delayed response times may have severe consequences. Using a realistic driving simulator, we find significant sequential effects in pedal-press response times that depend on the history of recent stimuli and responses. Response times are slowed up to 100 ms in particular cases, a (...)
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    Improving Human‐Machine Cooperative Classification Via Cognitive Theories of Similarity.Brett D. Roads & Michael C. Mozer - 2017 - Cognitive Science 41 (5):1394-1411.
    Acquiring perceptual expertise is slow and effortful. However, untrained novices can accurately make difficult classification decisions by reformulating the task as similarity judgment. Given a query image and a set of reference images, individuals are asked to select the best matching reference. When references are suitably chosen, the procedure yields an implicit classification of the query image. To optimize reference selection, we develop and evaluate a predictive model of similarity-based choice. The model builds on existing psychological literature and accommodates stochastic, (...)
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