Articles

Semantic modelling for robots applications

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  4. D.I. Sviridenko “Introduction into Semantic Smart Contracts” Available online
  5. V.Gumirov, P.Matyukov, D.Palchunov, “Semantic Domain Specific Languages”, IEEE, 2018 (перевод препринта на русский язык доступен http://bit.ly/sDSL-RU)
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  12. Gumirov V.S., Matyukov P.Y., Palchunov D.E. “Semantic Domain-specific Languages” // In: 2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON), Novosibirsk, Russia, 21-27 Oct. 2019. IEEE Press, 2019. P. 0955–0960. Available online
  13. Gumirov V.S., Palchunov D.E., “System and method for selection of content for displaying to user”, RU Patent RU2595530C1 Available online
  14. Galieva A.G., Palchunov D.E. “Logical Methods for Smart Contract Development” // In: 2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON), Novosibirsk, Russia, 21-27 Oct. 2019. IEEE Press, 2019. P. 0881–0885. Available online
  15. D.E. Palchunov ; G.E. Yakhyaeva “Integration of Fuzzy Model Theory and FCA for Big Data Mining 2019” International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) Available online
  16. Sergey Goncharov; Dmitry Sviridenko “Semantic Modeling and Hybrid Models 2019 International Multi-Conference on Engineering”, Computer and Information Sciences (SIBIRCON) Available online
  17. Palchunov D.E., Yakhyaeva G.E. “Fuzzy logics and fuzzy model theory // Algebra and Logic”, vol. 54, no. 1, 2015, pp. 74-80. DOI: 10.1007/s10469-015-9326-9 Available online
  18. D.E. Palchunov, G.E. Yakhyaeva. “Interval Fuzzy Algebraic Systems. In: Mathematical Logic in Asia. Proceedings of the 9th Asian Logic Conference’05”, World Scientific Publishers, 2006, p. 191-202. Available online
  19. “Comparison of relational methods and attribute-based methods for data mining in intelligent systems” B. Kovalerchuk; E. Vityaev - Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014) Available online
  20. “Probabilistic Dynamic Logic of Phenomena and Cognition” Evgenii Vityaev; Boris Kovalerchuk; Leonid Perlovsky; Stanislav Smerdov - The 2010 International Joint Conference on Neural Networks (IJCNN) Available online
  21. Evgenii Vityaev, Boris Kovalerchuk “Empirical Theories Discovery based on the Measurement Theory. Mind and Machine”, v.14, #4, 551-573, 2004 (preliminary version) Available online
  22. Evgenii Vityaev, Boris Kovalerchuk “Ontological Data Mining. Uncertainty Modeling: Dedicated to Professor Boris Kovalerchuk on his Anniversary. Studies in Computational Intelligence 683”, V. Kreinovich (ed.), Springer, 2017, pp. 277-292. Available online
  23. E.E. Vityaev, A.V. Demin. “Cognitive architecture based on the functional systems theory.” Procedia Computer Science 145C (2018) pp. 623-628. Available online
  24. Vityaev E.E. “A formal model of neuron that provides consistent predictions. Biologically Inspired Cognitive Architectures 2012”. Proceedings of the Third Annual Meeting of the BICA Society (A. Chella, R.Pirrone, R. Sorbello, K.R. Johannsdottir, Eds). “In Advances in Intelligent Systems and Computing”, v.196, Springer: Heidelberg, New York, Dordrecht, London. 2013, pp. 339-344. Available online
  25. Evgenii E. Vityaev, Alexander V. Demin “Recursive subgoals discovery based on the functional systems theory.” Biologically Inspired Cognitive Architectures 2011, A.V.Samsonovich, K.R.Johannsdottir (Eds), IOS Press, 2011, pp.425-430 Available online
  26. Demin A.V., Vityaev E.E. “Adaptive control of multiped robot” // Procedia Computer Science 145C (2018) pp. 629-634. Available online
  27. Anton Kolonina, Evgenii Vityaev, Yuriy Orlov “Cognitive Architecture of Collective Intelligence Based on Social Evidence” // 7th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2016, 16-19 July, 2016 in New York City, NY, USA. Procedia Computer Science, v.88, 2016, pp. 475-481. Available online
  28. A.V. Demin, E.E. Vityaev “Learning in a virtual model of the C. elegans nematode for locomotion and chemotaxis.” Biologically Inspired Cognitive Architectures. (2014) 7, 9-14. Available online