The evolution of frequency distributions: relating regularization to inductive biases through iterated learning.
about
Simplicity and Specificity in Language: Domain-General Biases Have Domain-Specific EffectsStatistical learning in songbirds: from self-tutoring to song culture.Greater learnability is not sufficient to produce cultural universalsAtypical birdsong and artificial languages provide insights into how communication systems are shaped by learning, use, and transmissionIdentifying innovation in laboratory studies of cultural evolution: rates of retention and measures of adaptationRules from words: a dynamic neural basis for a lawful linguistic processThe Relationship Between Artificial and Second Language Learning.Harmonic biases in child learners: in support of language universals.Language learning, language use and the evolution of linguistic variation.Cognitive processing, language typology, and variation.Squeezing through the Now-or-Never bottleneck: Reconnecting language processing, acquisition, change, and structure.Language evolution can be shaped by the structure of the world.Cognitive biases, linguistic universals, and constraint-based grammar learning.When learners surpass their models: mathematical modeling of learning from an inconsistent source.The effects of cultural transmission are modulated by the amount of information transmitted.Detecting evolutionary forces in language change.Word meanings evolve to selectively preserve distinctions on salient dimensions.Linguistic structure emerges through the interaction of memory constraints and communicative pressures.When regularization gets it wrong: children over-simplify language input only in production.A Bayesian model of biases in artificial language learning: the case of a word-order universal.Words as alleles: connecting language evolution with Bayesian learners to models of genetic drift.Compression in cultural evolution: Homogeneity and structure in the emergence and evolution of a large-scale online collaborative art project
P2860
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P2860
The evolution of frequency distributions: relating regularization to inductive biases through iterated learning.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
2009年學術文章
@zh-hant
name
The evolution of frequency dis ...... ses through iterated learning.
@en
The evolution of frequency dis ...... ses through iterated learning.
@nl
type
label
The evolution of frequency dis ...... ses through iterated learning.
@en
The evolution of frequency dis ...... ses through iterated learning.
@nl
prefLabel
The evolution of frequency dis ...... ses through iterated learning.
@en
The evolution of frequency dis ...... ses through iterated learning.
@nl
P1433
P1476
The evolution of frequency dis ...... ses through iterated learning.
@en
P2093
Florencia Reali
P304
P356
10.1016/J.COGNITION.2009.02.012
P577
2009-03-26T00:00:00Z