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  1. 2025

  2. Task-Based Approach to Digital Transformations

    Vityaev, E. E., Sviridenko, D. I. & Rofe, A. R., 2025, In: Bulletin of Irkutsk State University, Series Mathematics. 54, p. 78-95 18 p., 6.

    Research output: Contribution to journal › Article › peer-review

  3. The Task-Based Approach: A New Paradigm for Building Trustworthy Artificial Intelligence

    Nechesov, A. V., Vityaev, E. E., Goncharov, S. S. & Sviridenko, D. I., 2025, In: Bulletin of Irkutsk State University, Series Mathematics. 54, p. 96-112 17 p., 7.

    Research output: Contribution to journal › Article › peer-review

  4. 2024

  5. Interpretable logical-probabilistic approximation of neural networks

    Vityaev, E. & Korolev, A., Dec 2024, In: Cognitive Systems Research. 88, 101301.

    Research output: Contribution to journal › Article › peer-review

  6. 2023

  7. Task-driven approach to artificial intelligence

    Vityaev, E. E., Goncharov, S. S. & Sviridenko, D. I., Sept 2023, In: Cognitive Systems Research. 81, p. 50-56 7 p.

    Research output: Contribution to journal › Article › peer-review

  8. Brain Principles Programming

    Vityaev, E., Kolonin, A., Kurpatov, A. & Molchanov, A., 2023, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, p. 424-433 10 p. 41. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13539 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  9. 2022

  10. Brain Principles Programming

    Vityaev, E., Kolonin, A., Kurpatov, A. & Molchanov, A., 2022, In: Doklady Mathematics. 106, p. S101-S112

    Research output: Contribution to journal › Article › peer-review

  11. On Comparative Analysis of Rule-Based Cognitive Architectures

    Kolonin, Y. & Vityaev, E., 2022, Artificial General Intelligence - 14th International Conference, AGI 2021, Proceedings. Goertzel, B., Iklé, M. & Potapov, A. (eds.). 1 ed. Springer, p. 279-282 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13154 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  12. Transparent Clustering with Cyclic Probabilistic Causal Models

    Vityaev, E. E. & Pak, B., 2022, Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery. Kovalerchuk, B., Nazemi, K., Andonie, R., Datia, N. & Banissi, E. (eds.). 1 ed. Springer, p. 239-253 15 p. (Studies in Computational Intelligence; vol. 1014).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review

  13. 2021

  14. Prototypes of the “natural” concepts discovery

    Vityaev, E. & Pak, B., Jun 2021, In: Cognitive Systems Research. 67, p. 1-8 8 p.

    Research output: Contribution to journal › Article › peer-review

  15. Representation of “Natural” Concepts and Classes by a Hypernet Lattice of (Probabilistic) Formal Concepts

    Vityaev, E., 2021, Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics - Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020. Velichkovsky, B. M., Balaban, P. M. & Ushakov, V. L. (eds.). Springer, p. 671-676 6 p. (Advances in Intelligent Systems and Computing; vol. 1358 AIST).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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