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

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Biologically Inspired Cognitive Architectures 2023 (BICA 2023)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1130))

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Abstract

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.

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Acknowledgments

This work was supported by the Russian Science Foundation Grant #22-11-00213, https://rscf.ru/en/project/22-11-00213/.

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Authors and Affiliations

  1. National Research Nuclear University MEPhI, Kashirskoe Shosse 31, Moscow, 115409, Russian Federation

    Dmitry Khabarov & Alexei V. Samsonovich

Authors
  1. Dmitry Khabarov
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  2. Alexei V. Samsonovich
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Corresponding author

Correspondence to Alexei V. Samsonovich .

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Editors and Affiliations

  1. Cybernetics Department, Moscow Engineering Physics Institute, Moscow, Russia

    Alexei V. Samsonovich

  2. College of Science and Technology, Ningbo University, Ningbo, China

    Tingting Liu

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Khabarov, D., Samsonovich, A.V. (2024). Registrar: A Social Conversational Agent Based on Cognitive and Statistical Models for a Limited Paradigm. In: Samsonovich, A.V., Liu, T. (eds) Biologically Inspired Cognitive Architectures 2023. BICA 2023. Studies in Computational Intelligence, vol 1130. Springer, Cham. https://doi.org/10.1007/978-3-031-50381-8_46

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