Simulation of language evolution using Fuzzy Grammars

Author

Alvarado-Maga, Juan Paulo ; Rodríguez-Díaz, Antonio ; Castro, Juan R. ; Castillo, Oscar

Author_Institution

Fac. of Chem. Sci. & Eng, Autonomous Univ. of Baja California, Tijuana, Mexico

fYear

2012

fDate

6-8 Aug. 2012

Firstpage

1

Lastpage

6

Abstract

Many computer simulations try to explain language evolution with socially oriented scenarios in multi-agent systems by applying methods such as genetic algorithms and neural networks. In this paper a new approach based on modifications to the classic Ant Colony Optimization algorithm is proposed. Ants are provided with a Fuzzy Grammar and the ability to embed a message in the pheromone. By fuzzifying the grammar, ants are able to modify the degree of membership of the production rules to gradually adopt a foreign language.

Keywords

ant colony optimisation; fuzzy set theory; genetic algorithms; grammars; multi-agent systems; natural language processing; neural nets; ant colony optimization; computer simulations; foreign language; fuzzy grammars; genetic algorithms; language evolution; multi-agent systems; neural networks; socially oriented scenarios; Ant colony optimization; Arrays; Evolution (biology); Games; Grammar; Humans; Production;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society (NAFIPS), 2012 Annual Meeting of the North American

Conference_Location

Berkeley, CA

ISSN

pending

Print_ISBN

978-1-4673-2336-9

Electronic_ISBN

pending

Type

conf

DOI

10.1109/NAFIPS.2012.6290980

Filename

6290980