2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS) 2012
DOI: 10.1109/nafips.2012.6290980 View full text |Buy / Rent full text
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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 fore… Show more

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