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    Chapter and Conference Paper

    A Socially Acceptable Conversational Agent Based on Cognitive Modeling and Machine Learning

    Large Language Models (LLM) enable recognition of the topic of arbitrary statements, as well as their emotional coloring, but do not “understand” the logic of emotions, despite the fact that they can often gen...

    Anatoly A. Dolgikh, Alexei V. Samsonovich in Biologically Inspired Cognitive Architectu… (2024)

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    Chapter and Conference Paper

    Deep Learning Evolution: Using Genetic Algorithm to Modify Training Datasets

    The work addresses the problem of integration of deep learning and genetic algorithms (GA). An approach is developed where the GA directly modifies the training datasets rather than adjusting the parameters of...

    Mikhail Yu. Nazarko, Klim A. Fedorov in Biologically Inspired Cognitive Architectu… (2024)

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    Chapter and Conference Paper

    Map** Action Units to Valence and Arousal Space Using Machine Learning

    There are a lot of studies researching automated recognition of emotions. Emotions are represented as points in an emotion space. The emotion space itself is represented by different types of models. One is Fa...

    Ismail M. Gadzhiev, Alexander S. Makarov in Biologically Inspired Cognitive Architectu… (2024)

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    Chapter and Conference Paper

    Abstracts of Invited Talks Given at BICA*AI 2023

    This chapter comprises selected short and extended abstracts of invited talks and discussion panels that took place at the 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Art...

    Tingting Liu, Alexei V. Samsonovich in Biologically Inspired Cognitive Architectu… (2024)

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    Chapter and Conference Paper

    A Study of Conversational Intentionalities Expressed in Natural Language Using ChatGPT

    The goal of this study is two-fold: (1) to evaluate the usefulness and reliability of ChatGPT as a tool for detecting and generating nontrivial semantic categories of text, characterized by various conversatio...

    Ivan A. Pavlenko, Arthur D. Zakirov in Biologically Inspired Cognitive Architectu… (2024)

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    Chapter and Conference Paper

    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 wi...

    Dmitry Khabarov in Biologically Inspired Cognitive Architectures 2023 (2024)

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    Chapter and Conference Paper

    Selected Presentation Abstracts from BICA*AI 2023

    This chapter comprises selected short and extended abstracts of presentations given at the 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, also known...

    Maria Yu. Boboshko, Ekaterina S. Garbaruk in Biologically Inspired Cognitive Architectu… (2024)

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    Book and Conference Proceedings