10 found
Jonathan D. Nelson [7]Jonathan Nelson [3]Jonathan Katz Nelson [1]
See also
Jonathan H. Nelson
Saint Louis University
  1.  4
    Finding Useful Questions: On Bayesian Diagnosticity, Probability, Impact, and Information Gain.Jonathan D. Nelson - 2005 - Psychological Review 112 (4):979-999.
  2.  31
    Generalized Information Theory Meets Human Cognition: Introducing a Unified Framework to Model Uncertainty and Information Search.Vincenzo Crupi, Jonathan D. Nelson, Björn Meder, Gustavo Cevolani & Katya Tentori - 2018 - Cognitive Science 42 (5):1410-1456.
    Searching for information is critical in many situations. In medicine, for instance, careful choice of a diagnostic test can help narrow down the range of plausible diseases that the patient might have. In a probabilistic framework, test selection is often modeled by assuming that people’s goal is to reduce uncertainty about possible states of the world. In cognitive science, psychology, and medical decision making, Shannon entropy is the most prominent and most widely used model to formalize probabilistic uncertainty and the (...)
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  3.  7
    Children’s Sequential Information Search is Sensitive to Environmental Probabilities.Jonathan D. Nelson, Bojana Divjak, Gudny Gudmundsdottir, Laura F. Martignon & Björn Meder - 2014 - Cognition 130 (1):74-80.
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  4.  22
    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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  5. Towards a Rational Theory of Human Information Acquisition.Jonathan Nelson - 2008 - In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press.
  6.  2
    Editorial: Judgment and Decision Making Under Uncertainty: Descriptive, Normative, and Prescriptive Perspectives.David R. Mandel, Gorka Navarrete, Nathan Dieckmann & Jonathan Nelson - 2019 - Frontiers in Psychology 10.
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  7.  23
    Naïve Optimality: Subjects' Heuristics Can Be Better Motivated Than Experimenters' Optimal Models.Jonathan D. Nelson - 2009 - 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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  8.  10
    "Finding Useful Questions: On Bayesian Diagnosticity, Probability, Impact, and Information Gain": Correction to Nelson.Jonathan D. Nelson - 2007 - Psychological Review 114 (3):677-677.
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  9.  37
    Probabilistic Functionalism: A Unifying Paradigm for the Cognitive Sciences.Javier R. Movellan & Jonathan D. Nelson - 2001 - 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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  10. Una Carta De Francisco De Enzinas En El Martirologio De John Foxe.Ignacio García Pinilla & Jonathan Nelson - 1999 - Bibliothèque d'Humanisme Et Renaissance 61 (2):515-528.
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