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  1. A Mathematical Theory of Communication.Claude E. Shannon - 1948 - Bell System Technical Journal 27:379–423.
  • Language Evolution by Iterated Learning With Bayesian Agents.Thomas L. Griffiths & Michael L. Kalish - 2007 - Cognitive Science 31 (3):441-480.
    Languages are transmitted from person to person and generation to generation via a process of iterated learning: people learn a language from other people who once learned that language themselves. We analyze the consequences of iterated learning for learning algorithms based on the principles of Bayesian inference, assuming that learners compute a posterior distribution over languages by combining a prior (representing their inductive biases) with the evidence provided by linguistic data. We show that when learners sample languages from this posterior (...)
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  • Context Influences Conscious Appraisal of Cross Situational Statistical Learning.Timothy J. Poepsel & Daniel J. Weiss - 2014 - Frontiers in Psychology 5.
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  • Simplicity and Specificity in Language: Domain-General Biases Have Domain-Specific Effects.Jennifer Culbertson & Simon Kirby - 2015 - Frontiers in Psychology 6.
  • Maturational Constraints on Language Learning.Elissa L. Newport - 1990 - Cognitive Science 14 (1):11-28.
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  • Using Category Structures to Test Iterated Learning as a Method for Identifying Inductive Biases.Thomas L. Griffiths, Brian R. Christian & Michael L. Kalish - 2008 - Cognitive Science 32 (1):68-107.
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  • Harmonic Biases in Child Learners: In Support of Language Universals.Jennifer Culbertson & Elissa L. Newport - 2015 - Cognition 139:71-82.
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  • Learning Biases Predict a Word Order Universal.Jennifer Culbertson, Paul Smolensky & Géraldine Legendre - 2012 - Cognition 122 (3):306-329.
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  • The Now-or-Never Bottleneck: A Fundamental Constraint on Language.Morten H. Christiansen & Nick Chater - 2016 - Behavioral and Brain Sciences 39:1-52.
    Memory is fleeting. New material rapidly obliterates previous material. How, then, can the brain deal successfully with the continual deluge of linguistic input? We argue that, to deal with this “Now-or-Never” bottleneck, the brain must compress and recode linguistic input as rapidly as possible. This observation has strong implications for the nature of language processing: the language system must “eagerly” recode and compress linguistic input; as the bottleneck recurs at each new representational level, the language system must build a multilevel (...)
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  • Eliminating Unpredictable Variation Through Iterated Learning.Kenny Smith & Elizabeth Wonnacott - 2010 - Cognition 116 (3):444-449.
  • Implicit Learning: News From the Front.Axel Cleeremans, Arnaud Destrebecqz & Maud Boyer - 1998 - Trends in Cognitive Sciences 2 (10):406-416.
    69 Thompson-Schill, S.L. _et al. _(1997) Role of left inferior prefrontal cortex 59 Buckner, R.L. _et al. _(1996) Functional anatomic studies of memory in retrieval of semantic knowledge: a re-evaluation _Proc. Natl. Acad._ retrieval for auditory words and pictures _J. Neurosci. _16, 6219–6235 _Sci. U. S. A. _94, 14792–14797 60 Buckner, R.L. _et al. _(1995) Functional anatomical studies of explicit and 70 Baddeley, A. (1992) Working memory: the interface between memory implicit memory retrieval tasks _J. Neurosci. _15, 12–29 and cognition (...)
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  • The Serial Position Effect of Free Recall.Bennet B. Murdock - 1962 - Journal of Experimental Psychology 64 (5):482.
  • Language as Shaped by the Brain.Morten H. Christiansen & Nick Chater - 2008 - Behavioral and Brain Sciences 31 (5):489-509.
    It is widely assumed that human learning and the structure of human languages are intimately related. This relationship is frequently suggested to derive from a language-specific biological endowment, which encodes universal, but communicatively arbitrary, principles of language structure (a Universal Grammar or UG). How might such a UG have evolved? We argue that UG could not have arisen either by biological adaptation or non-adaptationist genetic processes, resulting in a logical problem of language evolution. Specifically, as the processes of language change (...)
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  • Through a Narrow Window: Sample Size and the Perception of Correlation.Yaakov Kareev, Iris Lieberman & Miri Lev - 1997 - Journal of Experimental Psychology: General 126 (3):278-287.
  • Fine-Grained Sensitivity to Statistical Information in Adult Word Learning.Athena Vouloumanos - 2008 - Cognition 107 (2):729-742.
  • Serial Effects in Recall of Unorganized and Sequentially Organized Verbal Material.James Deese & Roger A. Kaufman - 1957 - Journal of Experimental Psychology 54 (3):180.
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  • The Evolution of Frequency Distributions: Relating Regularization to Inductive Biases Through Iterated Learning.Florencia Reali & Thomas L. Griffiths - 2009 - Cognition 111 (3):317-328.