GA4CA: Genetic Algorithms for the Creation and Design of Conversational Agents

Authors

Ricardo Rubiano-Cruz, Else Kröner Fresenius Center for Digital Health, Faculty of Medicine CGC, TU Dresden, Dresden, Germany; Technische Universität Dresden, Chair of Business Informatics, esp. Intelligent Systems and Services, Dresden GermanyFollow
Stefan Greulich, Else Kröner Fresenius Center for Digital Health, Faculty of Medicine CGC, TU Dresden, Dresden, Germany; Technische Universität Dresden, Chair of Business Informatics, esp. Intelligent Systems and Services, Dresden GermanyFollow
Christian Huchler, Technische Universität Dresden, Chair of Business Informatics, esp. Intelligent Systems and Services, Dresden GermanyFollow

Abstract

User frustration is one negative consequence of human-computer interaction caused by bad interpretations and insufficient adaptation to user preferences. In this scope, genetic algorithms (GAs) might offer some insights to mitigate this problem. We conducted a systematic review to identify the implementation of GAs in the field of the design of conversational agents (CAs). Our results displayed that the literature focuses on three clusters mainly using evolutionary algorithms, and binary-coded GAs for natural language processing (NLP).

Recommended Citation

Rubiano-Cruz, Ricardo; Greulich, Stefan; and Huchler, Christian, "GA4CA: Genetic Algorithms for the Creation and Design of Conversational Agents" (2024). Wirtschaftsinformatik 2024 Proceedings. 93.
https://aisel.aisnet.org/wi2024/93