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  1. Testing three coping strategies for time pressure in categorizations and similarity judgments.Florian I. Seitz, Bettina von Helversen, Rebecca Albrecht, Jörg Rieskamp & Jana B. Jarecki - 2023 - Cognition 233 (C):105358.
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  • 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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  • Testing adaptive toolbox models: A Bayesian hierarchical approach.Benjamin Scheibehenne, Jörg Rieskamp & Eric-Jan Wagenmakers - 2013 - Psychological Review 120 (1):39-64.
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  • Strategies for memory-based decision making: Modeling behavioral and neural signatures within a cognitive architecture.Hanna B. Fechner, Thorsten Pachur, Lael J. Schooler, Katja Mehlhorn, Ceren Battal, Kirsten G. Volz & Jelmer P. Borst - 2016 - Cognition 157 (C):77-99.
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  • Naïve and Robust: Class‐Conditional Independence in Human Classification Learning.Jana B. Jarecki, Björn Meder & Jonathan D. Nelson - 2018 - Cognitive Science 42 (1):4-42.
    Humans excel in categorization. Yet from a computational standpoint, learning a novel probabilistic classification task involves severe computational challenges. The present paper investigates one way to address these challenges: assuming class-conditional independence of features. This feature independence assumption simplifies the inference problem, allows for informed inferences about novel feature combinations, and performs robustly across different statistical environments. We designed a new Bayesian classification learning model that incorporates varying degrees of prior belief in class-conditional independence, learns whether or not independence holds, (...)
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  • 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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  • Eye movements reveal memory processes during similarity- and rule-based decision making.Agnes Scholz, Bettina von Helversen & Jörg Rieskamp - 2015 - Cognition 136 (C):228-246.
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  • (1 other version)Additive integration of information in multiple cue judgment: A division of labor hypothesis.P. Juslin, L. Karlsson & H. Olsson - 2008 - Cognition 106 (1):259-298.
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  • I Don’t Want to Miss a Thing – Learning Dynamics and Effects of Feedback Type and Monetary Incentive in a Paired Associate Deterministic Learning Task.Magda Gawlowska, Ewa Beldzik, Aleksandra Domagalik, Adam Gagol, Tadeusz Marek & Justyna Mojsa-Kaja - 2017 - Frontiers in Psychology 8.
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  • 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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  • Evaluating psychodiagnostic decisions.Cilia L. M. Witteman, Clare Harries, Hilary L. Bekker & Edward J. M. Van Aarle - 2007 - Journal of Evaluation in Clinical Practice 13 (1):10-15.
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  • Insight and strategy in multiple-cue learning.David R. Shanks - 2006 - Journal of Experimental Psychology: General 135 (2):162-183.
    Insight and strategy 2 Abstract In multiple-cue learning (also known as probabilistic category learning) people acquire information about cue-outcome relations and combine these into predictions or judgments. Previous studies claim that people can achieve high levels of performance without explicit knowledge of the task structure or insight into their own judgment policies. It has also been argued that people use a variety of suboptimal strategies to solve such tasks. In three experiments we re-examined these conclusions by introducing novel measures of (...)
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  • Memory shapes judgments: Tracing how memory biases judgments by inducing the retrieval of exemplars.Agnes Rosner & Bettina von Helversen - 2019 - Cognition 190 (C):165-169.
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  • (1 other version)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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  • Building Memory Representations for Exemplar-Based Judgment: A Role for Ventral Precuneus.Sara Stillesjö, Lars Nyberg & Linnea Karlsson Wirebring - 2019 - Frontiers in Human Neuroscience 13:447776.
    The brain networks underlying human multiple-cue judgment, the judgment of a continuous criterion based on multiple cues, have been examined in a few recent studies, and the ventral precuneus has been found to be a key region. Specifically, activation differences in ventral precuneus (as measured with functional magnetic resonance imaging, fMRI) has been linked to an exemplar-based judgment process, where judgments are based on memory for previous similar cases. What aspects of exemplar-based judgment ventral precuneus supports is however poorly understood. (...)
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  • Judgment errors in naturalistic numerical estimation.Wanling Zou & Sudeep Bhatia - 2021 - Cognition 211 (C):104647.
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  • 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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  • What is the link between propositions and memories?Ben R. Newell - 2009 - Behavioral and Brain Sciences 32 (2):219-219.
    Mitchell et al. present a lucid and provocative challenge to the claim that links between mental representations are formed automatically. However, the propositional approach they offer requires clearer specification, especially with regard to how propositions and memories interact. A definition of a system would also clarify the debate, as might an alternative technique for assessing task.
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  • Biased confabulation in risky choice.Alice Mason, Christopher R. Madan, Nick Simonsen, Marcia L. Spetch & Elliot A. Ludvig - 2022 - Cognition 229 (C):105245.
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  • Exemplar similarity and rule application.Ulrike Hahn, Mercè Prat-Sala, Emmanuel M. Pothos & Duncan P. Brumby - 2010 - Cognition 114 (1):1-18.
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  • 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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  • Category learning and adaptive benefits of aging.Angela Merritt, Linnea Karlsson & Edward T. Cokely - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society.
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  • 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.
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