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  1. The Interaction of the Explicit and the Implicit in Skill Learning: A Dual-Process Approach.Ron Sun - 2005 - Psychological Review 112 (1):159-192.
    This article explicates the interaction between implicit and explicit processes in skill learning, in contrast to the tendency of researchers to study each type in isolation. It highlights various effects of the interaction on learning (including synergy effects). The authors argue for an integrated model of skill learning that takes into account both implicit and explicit processes. Moreover, they argue for a bottom-up approach (first learning implicit knowledge and then explicit knowledge) in the integrated model. A variety of qualitative data (...)
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  • Computational Models for the Combination of Advice and Individual Learning.Guido Biele, Jörg Rieskamp & Richard Gonzalez - 2009 - Cognitive Science 33 (2):206-242.
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  • The Psychology and Rationality of Decisions From Experience.Ralph Hertwig - 2012 - Synthese 187 (1):269-292.
    Most investigations into how people make risky choices have employed a simple drosophila: monetary gambles involving stated outcomes and probabilities. People are asked to make decisions from description . When people decide whether to back up their computer hard drive, cross a busy street, or go out on a date, however, they do not enjoy the convenience of stated outcomes and probabilities. People make such decisions either in the void of ignorance or in the twilight of their own often limited (...)
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  • Multiattribute Decision Making in Context: A Dynamic Neural Network Methodology.Samuel J. Leven & Daniel S. Levine - 1996 - Cognitive Science 20 (2):271-299.
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  • The Role of Cognitive Abilities in Decisions From Experience: Age Differences Emerge as a Function of Choice Set Size.Renato Frey, Rui Mata & Ralph Hertwig - 2015 - Cognition 142:60-80.
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  • Seeking Positive Experiences Can Produce Illusory Correlations.Jerker Denrell & Gaël Le Mens - 2011 - Cognition 119 (3):313-324.
  • Adaptive Learning and Risk Taking.Jerker Denrell - 2007 - Psychological Review 114 (1):177-187.
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  • Modeling Meta-Cognition in a Cognitive Architecture.Ron Sun, Xi Zhang & Robert Mathews - unknown
    This paper describes how meta-cognitive processes (i.e., the self monitoring and regulating of cognitive processes) may be captured within a cognitive architecture Clarion. Some currently popular cognitive architectures lack sufficiently complex built-in meta-cognitive mechanisms. However, a sufficiently complex meta-cognitive mechanism is important, in that it is an essential part of cognition and without it, human cognition may not function properly. We contend that such a meta-cognitive mechanism should be an integral part of a cognitive architecture. Thus such a mechanism has (...)
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  • Top-Down Versus Bottom-Up Learning in Cognitive Skill Acquisition.Ron Sun - unknown
    This paper explores the interaction between implicit and explicit processes during skill learning, in terms of top-down learning (that is, learning that goes from explicit to implicit knowledge) versus bottom-up learning (that is, learning that goes from implicit to explicit knowledge). Instead of studying each type of knowledge (implicit or explicit) in isolation, we stress the interaction between the two types, especially in terms of one type giving rise to the other, and its effects on learning. The work presents an (...)
     
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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.
  • Rules and Exemplars in Category Learning.Michael A. Erickson & John K. Kruschke - 1998 - Journal of Experimental Psychology: General 127 (2):107-140.
  • Modeling Decisions From Experience: How Models with a Set of Parameters for Aggregate Choices Explain Individual Choices.Neha Sharma & Varun Dutt - 2017 - Journal of Dynamic Decision Making 3 (1).
    One of the paradigms in judgment and decision-making involves decision-makers sample information before making a final consequential choice. In the sampling paradigm, certain computational models have been proposed where a set of single or distribution parameters is calibrated to the choice proportions of a group of participants. However, currently little is known on how aggregate and hierarchical models would account for choices made by individual participants in the sampling paradigm. In this paper, we test the ability of aggregate and hierarchical (...)
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  • Cognitive Niches: An Ecological Model of Strategy Selection.Julian N. Marewski & Lael J. Schooler - 2011 - Psychological Review 118 (3):393-437.
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  • The Robust Beauty of Majority Rules in Group Decisions.Reid Hastie & Tatsuya Kameda - 2005 - Psychological Review 112 (2):494-508.
  • Interdependent Sampling and Social Influence.Jerker Denrell & Gaël Le Mens - 2007 - Psychological Review 114 (2):398-422.
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  • Rule-Plus-Exception Model of Classification Learning.Robert M. Nosofsky, Thomas J. Palmeri & Stephen C. McKinley - 1994 - Psychological Review 101 (1):53-79.
  • From Recurrent Choice to Skill Learning: A Reinforcement-Learning Model.Wai-Tat Fu & John R. Anderson - 2006 - Journal of Experimental Psychology: General 135 (2):184-206.
  • 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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  • On Adaptation, Maximization, and Reinforcement Learning Among Cognitive Strategies.Ido Erev & Greg Barron - 2005 - Psychological Review 112 (4):912-931.
  • 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.
  • Predicting Risk Sensitivity in Humans and Lower Animals: Risk as Variance or Coefficient of Variation.Elke U. Weber, Sharoni Shafir & Ann-Renée Blais - 2004 - Psychological Review 111 (2):430-445.
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