7 found
Order:
  1.  42
    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 (...)
    Direct download (8 more)  
     
    Export citation  
     
    Bookmark   34 citations  
  2.  30
    The Wisdom of Individuals: Exploring People's Knowledge About Everyday Events Using Iterated Learning.Stephan Lewandowsky, Thomas L. Griffiths & Michael L. Kalish - 2009 - Cognitive Science 33 (6):969-998.
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   9 citations  
  3.  20
    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.
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   8 citations  
  4.  13
    Population of Linear Experts: Knowledge Partitioning and Function Learning.Michael L. Kalish, Stephan Lewandowsky & John K. Kruschke - 2004 - Psychological Review 111 (4):1072-1099.
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   9 citations  
  5.  78
    The Effects of Cultural Transmission Are Modulated by the Amount of Information Transmitted.Thomas L. Griffiths, Stephan Lewandowsky & Michael L. Kalish - 2013 - Cognitive Science 37 (5):953-967.
    Information changes as it is passed from person to person, with this process of cultural transmission allowing the minds of individuals to shape the information that they transmit. We present mathematical models of cultural transmission which predict that the amount of information passed from person to person should affect the rate at which that information changes. We tested this prediction using a function-learning task, in which people learn a functional relationship between two variables by observing the values of those variables. (...)
    Direct download (7 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  6.  5
    A Test of Two Processes: The Effect of Training on Deductive and Inductive Reasoning.Rachel G. Stephens, John C. Dunn, Brett K. Hayes & Michael L. Kalish - 2020 - Cognition 199:104223.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  7.  19
    Cognitive Penetration: Would We Know It If We Saw It?Gillian Rhodes & Michael L. Kalish - 1999 - Behavioral and Brain Sciences 22 (3):390-391.
    How can the impenetrability hypothesis be empirically tested? We comment on the role of signal detection measures, suggesting that context effects on discriminations for which post-perceptual cues are irrelevant, or on neural activity associated with early vision, would challenge impenetrability. We also note the great computational power of the proposed pre-perceptual attention processes and consider the implications for testability of the theory.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark