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Conference on Complex Systems
October 29-30, 2004; Northwestern University
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Natalia Komarova Paper | Homepage |
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Evolution of language
I will give an overview of the recent work that has been done in an
attempt to create a mathematical formulation of the evolution of
language. I will discuss the key notions of "language", "grammar"
and "learning" and formulate the "paradox of language
acquisition". I will discuss some, more or less, relevant learning
algorithms, and then go on to introduce the notion of "group
learning" as opposed to the classical "individual learning". It
turns out that methods of evolutionary biology can be applied to
describe the dynamics of language. In a sense, languages evolve like
individuals in a population: the fittest ones survive and spread, the
less fit ones get eliminated. The two driving forces of evolution,
selection and mutation (i.e. the mistakes when learning a language),
can be incorporated into a system of equations called the evolutionary
equations. One of the questions we can ask is how accurate children
have to learn the language of their parents in order for the
population to be able to maintain a coherent language? Another one is
what are the evolutionary forces that shape the Chomskian Universal
Grammar?
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