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Kalish, M. L., Griffiths, T. L., and Lewandowsky, S. (2007) Iterated learning: Intergenerational knowledge transmission reveals inductive biases. Psychonomic Bulletin and Review, 14(2):288--294.

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xxxx -Language evolution by iterated learning with Bayesian agents - Griffiths,Kalish :: 1
2005 -A Bayesian view of language evolution by iterated learning - Griffiths,Kalish :: 2
2004 -Population of linear experts: Knowledge partitioning and function learning - Kalish,Lewandowsky,Kruschke :: 1
2003 -Probability theory: The logic of science - Jaynes :: 2
2003 -Iterated Learning: a framework for the emergence of language - Smith,Kirby,Brighton :: 26
2003 -Information theory, inference, and learning algorithms - Mackay :: 3
2002 -In gods we trust: The evolutionary landscape of religion - Atran :: 1
2002 -Linguistic Evolution through Language Acquisition: Formal and Computational Models - Briscoe :: 35
2002 -Compositional Syntax from Cultural Transmission - Brighton :: 46
2002 -The Faculty of Language: What Is It, Who Has It, and How Did It Evolve? - Hauser,Chomsky,Fitch :: 52
2001 -Spontaneous evolution of linguistic structure: an iterated learning model of the emergence of regularity and irregularity - Kirby :: 77
2001 -The trouble with memes: Inferences versus imitation in cultural creation - Atran :: 1
2001 -Spreading nonnatural concepts - Barrett,Nyhof :: 1
2001 -Children creating language: how Nicaraguan sign language acquired a spatial grammar - Senghas,Coppola :: 12
2000 -Transformation between scientific and social representations of conception: The method of serial reproduction - Bangerter :: 1
1999 -Function, Selection and Innateness: the Emergence of Language Universals - Kirby :: 62
1998 -Cognitive tracks of cultural inheritance: how evolved intuitive ontology governs cultural transmission - Boyer :: 1
1997 -Markov chains - Norris :: 3
1997 -Learning functional relations based on experience with input-output pairs by humans and artificial neural networks - Busemeyer,Byun,DeLosh,McDaniel :: 1
1997 -Machine learning - Mitchell :: 18
1996 -Explaining culture: A naturalistic approach - Sperber :: 3
1995 -Bayesian data analysis - Gelman,Carlin,Stern,Rubin :: 2
1995 -The nature of statistical learning theory - Vapnik :: 9
1994 -An introduction to computational learning theory - Kearns,Vazirani :: 5
1994 -The Bayesian choice: A decision-theoretic motivation - Robert :: 2
1994 -The naturalness of religious ideas: A cognitive theory of religion - Boyer :: 1
1992 -Bayesian inference in statistical analysis - Box,Tiao :: 1
1985 -Culture and the evolutionary process - Boyd,Richerson :: 22
1981 -Cultural Transmission and Evolution: A quantitative approach - Cavalli-Sforza,Feldman :: 30
1974 -Hypotheses about relations between scaled variables in the learning of probabilistic inference tasks - Brehmer :: 1
1971 -Subjects' ability to use functional rules - Brehmer :: 1
1965 -Aspects of the theory of syntax - Chomsky :: 72
1955 -Fact, fiction, and forecast - Goodman :: 2
1954 -Foundations of statistics - Savage :: 2
1932 -Remembering: a study in experimental and social psychology - Bartlett :: 1

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