Registrar: A Social Conversational Agent Based on Cognitive and Statistical Models for a Limited Paradigm

A virtual conversational agent is designed based on a cognitive model integrated with neural network model named BERT and large language model ChatGPT. The system was tested in a Turing-test-like experiment with human participants, using a limited paradigm of registration of a guest in a hotel. Performance of the agent on several scales matches human performance, while in empathy it showed a significantly higher score compared to humans. The narrowly designed prototype proves the concept and suggest future applications to general open-ended paradigms.