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  1.  4
    Jonathan D. Nelson, Bojana Divjak, Gudny Gudmundsdottir, Laura F. Martignon & Björn Meder (2014). Children’s Sequential Information Search is Sensitive to Environmental Probabilities. Cognition 130 (1):74-80.
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  2.  17
    Jonathan D. Nelson (2009). Naïve Optimality: Subjects' Heuristics Can Be Better Motivated Than Experimenters' Optimal Models. Behavioral and Brain Sciences 32 (1):94-95.
    Is human cognition best described by optimal models, or by adaptive but suboptimal heuristic strategies? It is frequently hard to identify which theoretical model is normatively best justified. In the context of information search, naoptimal” models.
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  3.  21
    Javier R. Movellan & Jonathan D. Nelson (2001). Probabilistic Functionalism: A Unifying Paradigm for the Cognitive Sciences. Behavioral and Brain Sciences 24 (4):690-692.
    The probabilistic analysis of functional questions is maturing into a rigorous and coherent research paradigm that may unify the cognitive sciences, from the study of single neurons in the brain to the study of high level cognitive processes and distributed cognition. Endless debates about undecidable structural issues (modularity vs. interactivity, serial vs. parallel processing, iconic vs. propositional representations, symbolic vs. connectionist models) may be put aside in favor of a rigorous understanding of the problems solved by organisms in their natural (...)
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  4. Jonathan D. Nelson (2005). Finding Useful Questions: On Bayesian Diagnosticity, Probability, Impact, and Information Gain. Psychological Review 112 (4):979-999.
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  5. Jonathan D. Nelson (2007). "Finding Useful Questions: On Bayesian Diagnosticity, Probability, Impact, and Information Gain": Correction to Nelson. Psychological Review 114 (3):677-677.
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