Abstract
A genetic algorithm is used to improve the success-rate of an AAOSA-based application. Tests show promising results both in the improvement made in the success-rate of the development and test corpora, and in the nature and number of interpretation rules added to agents.
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Hodjat, B., Ito, J., Amamiya, M. (2004). A Genetic Algorithm to Improve Agent-Oriented Natural Language Interpreters. In: Deb, K. (eds) Genetic and Evolutionary Computation – GECCO 2004. GECCO 2004. Lecture Notes in Computer Science, vol 3103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24855-2_140
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DOI: https://doi.org/10.1007/978-3-540-24855-2_140
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