Language Evolution and Computation Bibliography

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Juan R Castro
2013
Soft Computing Applications in Optimization, Control, and Recognition, pages 265--286, 2013
This paper proposes a new approach to simulating language evolution; it expands on the original work done by Lee and Zadeh on Fuzzy Grammars and introduces a Type-2 Fuzzy Grammar. Ants in an Ant Colony Optimization algorithm are given the ability of embedding a message on the ...MORE ⇓
This paper proposes a new approach to simulating language evolution; it expands on the original work done by Lee and Zadeh on Fuzzy Grammars and introduces a Type-2 Fuzzy Grammar. Ants in an Ant Colony Optimization algorithm are given the ability of embedding a message on the pheromone using a Type-2 Fuzzy Grammar. These ants are able to gradually adopt a foreign language by adjusting the grades of membership of their grammar. Results that show the effect of uncertainty in a language are given.