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  1.  35
    Random walks on semantic networks can resemble optimal foraging.Joshua T. Abbott, Joseph L. Austerweil & Thomas L. Griffiths - 2015 - Psychological Review 122 (3):558-569.
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  2.  29
    Analyzing the history of Cognition using Topic Models.Uriel Cohen Priva & Joseph L. Austerweil - 2015 - Cognition 135:4-9.
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  3. Seeking Confirmation Is Rational for Deterministic Hypotheses.Joseph L. Austerweil & Thomas L. Griffiths - 2011 - Cognitive Science 35 (3):499-526.
    The tendency to test outcomes that are predicted by our current theory (the confirmation bias) is one of the best-known biases of human decision making. We prove that the confirmation bias is an optimal strategy for testing hypotheses when those hypotheses are deterministic, each making a single prediction about the next event in a sequence. Our proof applies for two normative standards commonly used for evaluating hypothesis testing: maximizing expected information gain and maximizing the probability of falsifying the current hypothesis. (...)
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  4.  19
    Learning How to Generalize.Joseph L. Austerweil, Sophia Sanborn & Thomas L. Griffiths - 2019 - Cognitive Science 43 (8):e12777.
    Generalization is a fundamental problem solved by every cognitive system in essentially every domain. Although it is known that how people generalize varies in complex ways depending on the context or domain, it is an open question how people learn the appropriate way to generalize for a new context. To understand this capability, we cast the problem of learning how to generalize as a problem of learning the appropriate hypothesis space for generalization. We propose a normative mathematical framework for learning (...)
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  5.  19
    Analyzing Knowledge Retrieval Impairments Associated with Alzheimer’s Disease Using Network Analyses.Jeffrey C. Zemla & Joseph L. Austerweil - 2019 - Complexity 2019:1-12.
    A defining characteristic of Alzheimer’s disease is difficulty in retrieving semantic memories, or memories encoding facts and knowledge. While it has been suggested that this impairment is caused by a degradation of the semantic store, the precise ways in which the semantic store is degraded are not well understood. Using a longitudinal corpus of semantic fluency data, we derive semantic network representations of patients with Alzheimer’s disease and of healthy controls. We contrast our network-based approach with analyzing fluency data with (...)
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  6.  16
    A nonparametric Bayesian framework for constructing flexible feature representations.Joseph L. Austerweil & Thomas L. Griffiths - 2013 - Psychological Review 120 (4):817-851.
  7.  11
    REFRESH: A new approach to modeling dimensional biases in perceptual similarity and categorization.Adam N. Sanborn, Katherine Heller, Joseph L. Austerweil & Nick Chater - 2021 - Psychological Review 128 (6):1145-1186.
  8.  32
    Learning hypothesis spaces and dimensions through concept learning.Joseph L. Austerweil & Thomas L. Griffiths - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 73--78.