26 found
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  1.  12
    Naive empiricism and dogmatism in confidence research: A critical examination of the hard–easy effect.Peter Juslin, Anders Winman & Henrik Olsson - 2000 - Psychological Review 107 (2):384-396.
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  2.  25
    Probability theory, not the very guide of life.Peter Juslin, Håkan Nilsson & Anders Winman - 2009 - Psychological Review 116 (4):856-874.
  3.  7
    Exemplar effects in categorization and multiple-cue judgment.Peter Juslin, Henrik Olsson & Anna-Carin Olsson - 2003 - Journal of Experimental Psychology: General 132 (1):133.
  4.  29
    PROBabilities from EXemplars (PROBEX): a “lazy” algorithm for probabilistic inference from generic knowledge.Peter Juslin & Magnus Persson - 2002 - Cognitive Science 26 (5):563-607.
    PROBEX (PROBabilities from EXemplars), a model of probabilistic inference and probability judgment based on generic knowledge is presented. Its properties are that: (a) it provides an exemplar model satisfying bounded rationality; (b) it is a “lazy” algorithm that presumes no pre‐computed abstractions; (c) it implements a hybrid‐representation, similarity‐graded probability. We investigate the ecological rationality of PROBEX and find that it compares favorably with Take‐The‐Best and multiple regression (Gigerenzer, Todd, & the ABC Research Group, 1999). PROBEX is fitted to the point (...)
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  5.  25
    Measuring acuity of the approximate number system reliably and validly: the evaluation of an adaptive test procedure.Marcus Lindskog, Anders Winman, Peter Juslin & Leo Poom - 2013 - Frontiers in Psychology 4.
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  6.  23
    Information integration in multiple cue judgment: A division of labor hypothesis.Peter Juslin, Linnea Karlsson & Henrik Olsson - 2008 - Cognition 106 (1):259-298.
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  7.  8
    Thurstonian and Brunswikian origins of uncertainty in judgment: A sampling model of confidence in sensory discrimination.Peter Juslin & Henrik Olsson - 1997 - Psychological Review 104 (2):344-366.
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  8.  30
    Reducing cognitive biases in probabilistic reasoning by the use of logarithm formats.Peter Juslin, Håkan Nilsson, Anders Winman & Marcus Lindskog - 2011 - Cognition 120 (2):248-267.
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  9.  15
    Visual perception of dynamic properties: Cue heuristics versus direct-perceptual competence.Sverker Runeson, Peter Juslin & Henrik Olsson - 2000 - Psychological Review 107 (3):525-555.
  10.  27
    The association between higher education and approximate number system acuity.Marcus Lindskog, Anders Winman & Peter Juslin - 2014 - Frontiers in Psychology 5.
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  11.  14
    The naïve intuitive statistician: A naïve sampling model of intuitive confidence intervals.Peter Juslin, Anders Winman & Patrik Hansson - 2007 - Psychological Review 114 (3):678-703.
  12.  28
    Heuristics can produce surprisingly rational probability estimates: Comment on Costello and Watts (2014).Håkan Nilsson, Peter Juslin & Anders Winman - 2016 - Psychological Review 123 (1):103-111.
  13.  16
    On the generality and cognitive basis of base-rate neglect.Elina Stengård, Peter Juslin, Ulrike Hahn & Ronald van den Berg - 2022 - Cognition 226 (C):105160.
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  14.  24
    The role of ANS acuity and numeracy for the calibration and the coherence of subjective probability judgments.Anders Winman, Peter Juslin, Marcus Lindskog, HÃ¥kan Nilsson & Neda Kerimi - 2014 - Frontiers in Psychology 5.
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  15.  19
    A Similarity-Based Process for Human Judgment in the Parietal Cortex.Linnea Karlsson Wirebring, Sara Stillesjö, Johan Eriksson, Peter Juslin & Lars Nyberg - 2018 - Frontiers in Human Neuroscience 12:408056.
    One important distinction in psychology is between inferences based on associative memory and inferences based on analysis and rules. Much previous empirical work conceive of associative and analytical processes as two exclusive ways of addressing a judgment task, where only one process is selected and engaged at a time, in an either-or fashion. However, related work indicate that the processes are better understood as being in interplay and simultaneously engaged. Based on computational modeling and brain imaging of spontaneously adopted judgment (...)
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  16.  16
    Capacity Limitations and the Detection of Correlations: Comment on Kareev (2000).Peter Juslin & Henrik Olsson - 2005 - Psychological Review 112 (1):256-267.
  17.  23
    Neurocognitive processes underlying heuristic and normative probability judgments.Linus Andersson, Johan Eriksson, Sara Stillesjö, Peter Juslin, Lars Nyberg & Linnea Karlsson Wirebring - 2020 - Cognition 196 (C):104153.
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  18.  18
    Is there something special with probabilities? – Insight vs. computational ability in multiple risk combination.Peter Juslin, Marcus Lindskog & Bastian Mayerhofer - 2015 - Cognition 136 (C):282-303.
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  19.  14
    Prospect evaluation as a function of numeracy and probability denominator.Philip Millroth & Peter Juslin - 2015 - Cognition 138 (C):1-9.
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  20.  18
    Can overconfidence be used as an indicator of reconstructive rather than retrieval processes?Peter Juslin, Anders Winman & Thomas Persson - 1995 - Cognition 54 (1):99-130.
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  21.  14
    Further perceptions of probability: In defence of associative models.Mattias Forsgren, Peter Juslin & Ronald van den Berg - 2023 - Psychological Review 130 (5):1383-1400.
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  22.  6
    Is numerical information always beneficial? Verbal and numerical cue-integration in additive and non-additive tasks.August Collsiöö, Peter Juslin & Anders Winman - 2023 - Cognition 240 (C):105584.
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  23. Causal Models and Cognitive Representations in Multiple Cue Judgment.Tommy Enkvist & Peter Juslin - 2007 - In McNamara D. S. & Trafton J. G. (eds.), Proceedings of the 29th Annual Cognitive Science Society. Cognitive Science Society. pp. 977--982.
  24.  14
    The naïve intuitive statistician: organism—environment relations from yet another angle.Patrik Hansson, Peter Juslin & Anders Winman - 2008 - In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press. pp. 237.
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  25.  5
    Postscript.Peter Juslin & Henrik Olsson - 2005 - Psychological Review 112 (1):267-267.
  26.  37
    Compound risk judgment in tasks with both idiosyncratic and systematic risk: The “Robust Beauty” of additive probability integration.Joakim Sundh & Peter Juslin - 2018 - Cognition 171 (C):25-41.
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