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Erschienen in:
2021 | OriginalPaper | Buchkapitel
A Chatterbot Based on Genetic Algorithm: Preliminary Results
verfasst von : Cristian Orellana, Martín Tobar, Jeremy Yazán, D. Peluffo-Ordóñez, Lorena Guachi-Guachi
Erschienen in: Applied Informatics
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Abstract
Chatterbots are programs that simulate an intelligent conversation with people. They are commonly used in customer service, product suggestions, e-commerce, travel and vacations, queries, and complaints. Although some works have presented valuable studies by using several technologies including evolutionary computing, artificial intelligence, machine learning, and natural language processing, creating chatterbots with a low rate of grammatical errors and good user satisfaction is still a challenging task. Therefore, this work introduces a preliminary study for the development of a GA-based chatterbot that generates intelligent dialogues with a low rate of grammatical errors and a strong sense of responsiveness, so boosting the personals satisfaction of individuals who interact with it. Preliminary results show that the proposed GA-based chatterbot yields 69% of “Good” responses for typical conversations regarding orders and receipts in a cafeteria.