1 - 27 out of 27Page size: 100
  1. 2024

  2. 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

  3. 2023

  4. 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

  5. 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

  6. 2022

  7. 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

  8. 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

  9. 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

  10. 2021

  11. 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

  12. 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

  13. 2020

  14. 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

  15. 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

  16. 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

  17. Consciousness as a Brain Complex Reflection of the Outer World Causal Relationships

    Vityaev, E., 1 Jan 2020, Biologically Inspired Cognitive Architectures 2019 - Proceedings of the 10th Annual Meeting of the BICA Society. Samsonovich, A. V. (ed.). Springer, p. 556-561 6 p. (Advances in Intelligent Systems and Computing; vol. 948).

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

  18. Consciousness as a logically consistent and prognostic model of reality

    Vityaev, E., 1 Jan 2020, In: Cognitive Systems Research. 59, p. 231-246 16 p.

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

  19. 2019

  20. How to predict consistently?

    Vityaev, E. & Odintsov, S., 2019, Studies in Computational Intelligence. Springer, p. 35-41 7 p. (Studies in Computational Intelligence; vol. 796).

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

  21. 2018

  22. Adaptive control of modular robots

    Demin, A. V. & Vityaev, E. E., 2018, Biologically Inspired Cognitive Architectures (BICA) for Young Scientists - Proceedings of the 1st International Early Research Career Enhancement School on BICA and Cybersecurity, FIERCES 2017. Samsonovich, A. V., Samsonovich, A. V. & Klimov, V. V. (eds.). Springer Nature, p. 205-212 8 p. (Advances in Intelligent Systems and Computing; vol. 636).

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

  23. Adaptive control of multiped robot

    Demin, A. & Vityaev, E., 2018, In: Procedia Computer Science. 145, p. 629-634 6 p.

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

  24. Cognitive architecture based on the functional systems theory

    Vityaev, E. E. & Demin, A. V., 2018, In: Procedia Computer Science. 145, p. 623-628 6 p.

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

  25. 2017

  26. Computer analysis of colocalization of the TFs’ binding sites in the genome according to the ChIP-seq data

    Dergilev, A. I., Spitsina, A. M., Chadaeva, I. V., Svichkarev, A. V., Naumenko, F. M., Kulakova, E. V., Galieva, E. R., Vityaev, E. E., Chen, M. & Orlov, Y. L., 1 Jul 2017, In: Russian Journal of Genetics: Applied Research. 7, 5, p. 513-522 10 p.

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

  27. Ontological data mining

    Vityaev, E. & Kovalerchuk, B., 1 Jan 2017, In: Studies in Computational Intelligence. 683, p. 277-292 16 p.

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

  28. 2016

  29. Cognitive Architecture of Collective Intelligence Based on Social Evidence

    Kolonin, A., Vityaev, E. & Orlov, Y., 2016, In: Procedia Computer Science. 88, p. 475-481 7 p.

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

  30. Recovering noisy contexts with probabilistic formal concepts?

    Martynovich, V. V. & Vityaev, E. E., 2016, In: CEUR Workshop Proceedings. 1687, p. 24-35 12 p.

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

  31. 2015

  32. Adaptive control system for a mobile agent in a physical environment based on functional systems theory

    Putintsev, N. I., Isupov, O. V. & Vityaev, E. E., 1 Nov 2015, In: Russian Journal of Genetics: Applied Research. 5, 6, p. 601-608 8 p.

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

  33. Development of artificial cognitive systems based on models of the brain of living organisms

    Putintsev, N. I., Vishnevsky, O. V. & Vityaev, E. E., 1 Nov 2015, In: Russian Journal of Genetics: Applied Research. 5, 6, p. 589-600 12 p.

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

  34. Formalization of «natural» classification and systematics as fix-points ofpredictions

    Vityaev, E. E. E. & Martinovich, V. V. E., 2015, In: Сибирские электронные математические известия. 12, p. 1006-1031 26 p.

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

  35. Probabilistic formal concepts with negation

    Vityaev, E. E. & Martinovich, V. V., 2015, Perspectives of System Informatics - 9th International Ershov Informatics Conference, PSI 2014, Revised Selected Papers. Virbitskaite, I., Voronkov, A. & Virbitskaite, I. (eds.). Springer, p. 385-399 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8974).

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

  36. Purposefulness as a principle of brain activity

    Vityaev, E. E., 2015, In: Cognitive Systems Monographs. 25, p. 231-254 24 p.

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

  37. Unified Formalization of «natural» Classification, «natural» Concepts, and Consciousness as Integrated Information by Giulio Tononi

    Vityaev, E., 2015, In: Procedia Computer Science. 71, p. 169-177 9 p.

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

ID: 3457149