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Mark A. Pitt, In Jae Myung & Shaobo Zhang (2002). Toward a Method of Selecting Among Computational Models of Cognition.

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  1.  3
    Simple Co‐Occurrence Statistics Reproducibly Predict Association Ratings.Markus J. Hofmann, Chris Biemann, Chris Westbury, Mariam Murusidze, Markus Conrad & Arthur M. Jacobs - 2018 - Cognitive Science 42 (7):2287-2312.
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  2.  7
    Editors’ Introduction: Cognitive Modeling at ICCM: Advancing the State of the Art.William G. Kennedy, Marieke K. Van Vugt & Adrian P. Banks - 2018 - Topics in Cognitive Science 10 (1):140-143.
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  3. Pitch Class and Envelope Effects in the Tritone Paradox Are Mediated by Differently Pronounced Frequency Preference Regions.Stephanie Malek - 2018 - Frontiers in Psychology 9.
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  4.  2
    Does Everyone Have a Price? On the Role of Payoff Magnitude for Ethical Decision Making.Benjamin E. Hilbig & Isabel Thielmann - 2017 - Cognition 163:15-25.
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  5.  4
    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 157:77-99.
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  6.  35
    A Sampling Framework for Uncertainty in Individual Environmental Decisions.Mirta Galesic, Astrid Kause & Wolfgang Gaissmaier - 2016 - Topics in Cognitive Science 8 (1):242-258.
    Decisions in the environmental and in particular the climate domain are burdened with uncertainty. Here, we focus on uncertainties faced by individuals when making decisions about environmental behavior, and we use the statistical sampling framework to develop a classification of different sources of uncertainty they encounter. We then map these sources to different public policy strategies aiming to help individuals cope with uncertainty when making environmental decisions.
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  7.  3
    Temporal Prediction Errors Modulate Task-Switching Performance.Roberto Limongi, Angélica M. Silva & Begoña Góngora-Costa - 2015 - Frontiers in Psychology 6.
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  8.  6
    Playing Off the Curve - Testing Quantitative Predictions of Skill Acquisition Theories in Development of Chess Performance.Robert Gaschler, Johanna Progscha, Kieran Smallbone, Nilam Ram & Merim Bilalić - 2014 - Frontiers in Psychology 5.
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  9.  7
    What is Adaptive About Adaptive Decision Making? A Parallel Constraint Satisfaction Account.Andreas Glöckner, Benjamin E. Hilbig & Marc Jekel - 2014 - Cognition 133 (3):641-666.
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  10.  15
    Weighing Outcomes by Time or Against Time? Evaluation Rules in Intertemporal Choice.Marc Scholten, Daniel Read & Adam Sanborn - 2014 - Cognitive Science 38 (3):399-438.
    Models of intertemporal choice draw on three evaluation rules, which we compare in the restricted domain of choices between smaller sooner and larger later monetary outcomes. The hyperbolic discounting model proposes an alternative-based rule, in which options are evaluated separately. The interval discounting model proposes a hybrid rule, in which the outcomes are evaluated separately, but the delays to those outcomes are evaluated in comparison with one another. The tradeoff model proposes an attribute-based rule, in which both outcomes and delays (...)
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  11.  38
    Sampling Assumptions in Inductive Generalization.Daniel J. Navarro, Matthew J. Dry & Michael D. Lee - 2012 - Cognitive Science 36 (2):187-223.
    Inductive generalization, where people go beyond the data provided, is a basic cognitive capability, and it underpins theoretical accounts of learning, categorization, and decision making. To complete the inductive leap needed for generalization, people must make a key ‘‘sampling’’ assumption about how the available data were generated. Previous models have considered two extreme possibilities, known as strong and weak sampling. In strong sampling, data are assumed to have been deliberately generated as positive examples of a concept, whereas in weak sampling, (...)
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  12.  53
    Bayesian Fundamentalism or Enlightenment? On the Explanatory Status and Theoretical Contributions of Bayesian Models of Cognition.Matt Jones & Bradley C. Love - 2011 - Behavioral and Brain Sciences 34 (4):169-188.
    The prominence of Bayesian modeling of cognition has increased recently largely because of mathematical advances in specifying and deriving predictions from complex probabilistic models. Much of this research aims to demonstrate that cognitive behavior can be explained from rational principles alone, without recourse to psychological or neurological processes and representations. We note commonalities between this rational approach and other movements in psychology that set aside mechanistic explanations or make use of optimality assumptions. Through these comparisons, we identify a number of (...)
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  13.  8
    Number-Knower Levels in Young Children: Insights From Bayesian Modeling.Michael D. Lee & Barbara W. Sarnecka - 2011 - Cognition 120 (3):391-402.
  14.  16
    Measuring Category Intuitiveness in Unconstrained Categorization Tasks.Emmanuel M. Pothos, Amotz Perlman, Todd M. Bailey, Ken Kurtz, Darren J. Edwards, Peter Hines & John V. McDonnell - 2011 - Cognition 121 (1):83-100.
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  15.  11
    Decisions on Pharmacogenomic Tests in the USA and Germany.Odette Wegwarth, Robert W. Day & Gerd Gigerenzer - 2011 - Journal of Evaluation in Clinical Practice 17 (2):228-235.
  16.  33
    Neural Models That Convince: Model Hierarchies and Other Strategies to Bridge the Gap Between Behavior and the Brain.Martijn Meeter, Janneke Jehee & Jaap Murre - 2007 - Philosophical Psychology 20 (6):749 – 772.
    Computational modeling of the brain holds great promise as a bridge from brain to behavior. To fulfill this promise, however, it is not enough for models to be 'biologically plausible': models must be structurally accurate. Here, we analyze what this entails for so-called psychobiological models, models that address behavior as well as brain function in some detail. Structural accuracy may be supported by (1) a model's a priori plausibility, which comes from a reliance on evidence-based assumptions, (2) fitting existing data, (...)
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  17.  6
    A Hierarchical Bayesian Model of Human Decision‐Making on an Optimal Stopping Problem.Michael D. Lee - 2006 - Cognitive Science 30 (3):1-26.
  18.  15
    Decision Making and Confidence Given Uncertain Advice.Michael D. Lee & Matthew J. Dry - 2006 - Cognitive Science 30 (6):1081-1095.
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  19.  2
    Global Model Analysis by Parameter Space Partitioning.Mark A. Pitt, Woojae Kim, Daniel J. Navarro & Jay I. Myung - 2006 - Psychological Review 113 (1):57-83.
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  20.  6
    SSL: A Theory of How People Learn to Select Strategies.Jörg Rieskamp & Philipp E. Otto - 2006 - Journal of Experimental Psychology: General 135 (2):207-236.
  21.  2
    SWIFT: A Dynamical Model of Saccade Generation During Reading.Ralf Engbert, Antje Nuthmann, Eike M. Richter & Reinhold Kliegl - 2005 - Psychological Review 112 (4):777-813.
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  22.  2
    Bayesian Statistical Inference in Psychology: Comment on Trafimow.Michael D. Lee & Eric-Jan Wagenmakers - 2005 - Psychological Review 112 (3):662-668.
  23.  1
    Finding Useful Questions: On Bayesian Diagnosticity, Probability, Impact, and Information Gain.Jonathan D. Nelson - 2005 - Psychological Review 112 (4):979-999.
  24.  19
    Practice and Forgetting Effects on Vocabulary Memory: An Activation‐Based Model of the Spacing Effect.Philip I. Pavlik & John R. Anderson - 2005 - Cognitive Science 29 (4):559-586.
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  25.  1
    Modeling Behavior in a Clinically Diagnostic Sequential Risk-Taking Task.Thomas S. Wallsten, Timothy J. Pleskac & C. W. Lejuez - 2005 - Psychological Review 112 (4):862-880.
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  26.  1
    Hemispheric Asymmetries in Cognitive Modeling: Connectionist Modeling of Unilateral Visual Neglect.Padraic Monaghan & Richard Shillcock - 2004 - Psychological Review 111 (2):283-308.
  27.  1
    A Comparison of Sequential Sampling Models for Two-Choice Reaction Time.Roger Ratcliff & Philip L. Smith - 2004 - Psychological Review 111 (2):333-367.
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  28. Comparing Categorization Models.Jeffrey N. Rouder & Roger Ratcliff - 2004 - Journal of Experimental Psychology: General 133 (1):63-82.
  29.  22
    Persistence and Accommodation in Short‐Term Priming and Other Perceptual Paradigms: Temporal Segregation Through Synaptic Depression.David E. Huber & Randall C. O'Reilly - 2003 - Cognitive Science 27 (3):403-430.
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  30.  14
    Persistence and Accommodation in Short-Term Priming and Other Perceptual Paradigms: Temporal Segregation Through Synaptic Depression.David E. Huber & Randall C. O'Reilly - 2003 - Cognitive Science 27 (3):403-430.
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  31.  7
    Sequential Sampling Models of Human Text Classification.Michael D. Lee & Elissa Y. Corlett - 2003 - Cognitive Science 27 (2):159-193.
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