Origins and Learnability of Syllable Systems: A Cultural Evolutionary Model
نویسنده
چکیده
منابع مشابه
How Phonological Structures Can Be Culturally Selected for Learnability
This paper shows how phonological structures can be culturally selected so as to become learnable and adapted to the ecological niche formed by the brains and bodies of speakers. A computational model of the cultural formation of syllable systems illustrates how general learning and physical biases can influence the evolution of the structure of vocalization systems. We use the artificial life ...
متن کاملWhy Adult Language Learning is Harder: A Computational Model of the Consequences of Cultural Selection for Learnability
This paper reports on a limited model of language evolution that incorporates transmission noise and errorful learning as sources of variation. The model illustrates how the adaptation of language to the statistical learning mechanisms of infants may be a factor in the apparent ceiling on adult second language achievement. The model is limited in its focus to only phonotactics because the proba...
متن کاملThe origins of language in teaching
I introduce seven criteria for determining the validity of competing theories for the original function of language. I go on to present a novel explanation that meets all the criteria: language originally evolved to teach kin. I suggest that the use of symbols subsequently generated evolutionary feedback at two levels, in the form of self-modified selection pressures that favored structures in ...
متن کاملThe Major Transitions in the Evolution of Language
The origins of human language, with its extraordinarily complex structure and multitude of functions, remains among the most challenging problems for evolutionary biology and the cognitive sciences. Although many will agree progress on this issue would have important consequences for linguistic theory, many remain sceptical about whether the topic is amenable to rigorous, scientific research at...
متن کاملVerification of an Evolutionary-based Wavelet Neural Network Model for Nonlinear Function Approximation
Nonlinear function approximation is one of the most important tasks in system analysis and identification. Several models have been presented to achieve an accurate approximation on nonlinear mathematics functions. However, the majority of the models are specific to certain problems and systems. In this paper, an evolutionary-based wavelet neural network model is proposed for structure definiti...
متن کامل