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  1. 2023

  2. 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

  3. 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 Science and Business Media Deutschland GmbH, 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 › Chapter › Research › peer-review

  4. 2022

  5. 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

  6. 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 Science and Business Media Deutschland GmbH, 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

  7. 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 Science and Business Media Deutschland GmbH, p. 239-253 15 p. (Studies in Computational Intelligence; vol. 1014).

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

  8. 2021

  9. 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

  10. 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 Science and Business Media Deutschland GmbH, 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

  11. 2020

  12. Formalization of ⇜natural⇝ classification and ⇜natural⇝ concepts by probabilistic generalization of formal concepts analysis

    Vityaev, E. E., Degtiarev, V., Pak, B. & Meister, Y., Oct 2020, In: CEUR Workshop Proceedings. 2648, p. 59-73 15 p.

    Research output: Contribution to journal › Conference article › peer-review

  13. Explainable Rule-Based Clustering based on Cyclic Probabilistic Causal Models

    Vityaev, E. E. & Pak, B., Sept 2020, 2020 24th International Conference Information Visualisation, IV 2020. Banissi, E., Khosrow-Shahi, F., Ursyn, A., McK. Bannatyne, M. W., Pires, J. M., Datia, N., Nazemi, K., Kovalerchuk, B., Counsell, J., Agapiou, A., Vrcelj, Z., Chau, H-W., Li, M., Nagy, G., Laing, R., Francese, R., Sarfraz, M., Bouali, F., Venturin, G., Trutschl, M., Cvek, U., Muller, H., Nakayama, M., Temperini, M., Di Mascio, T., Rossano, F. S. V. R., Dorner, R., Caruccio, L., Vitiello, A., Huang, W., Risi, M., Erra, U., Andonie, R., Ahmad, M. A., Figueiras, A. & Mabakane, M. S. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 307-312 6 p. 9373131. (Proceedings of the International Conference on Information Visualisation; vol. 2020-September).

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

  14. Logical probabilistic biologically inspired cognitive architecture

    Vityaev, E. E., Demin, A. V. & Kolonin, Y. A., 1 Aug 2020, Artificial General Intelligence - 13th International Conference, AGI 2020, Proceedings. Goertzel, B., Potapov, A., Panov, A. I. & Yampolskiy, R. (eds.). Springer Gabler, p. 337-346 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12177 LNAI).

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

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