BICA Lab

ICIS, NRNU MEPHI

Publications of BICA Lab Members


Our WoS/Scopus-Indexed Publications Citing the RSF Grant # 18-11-00336
  • Antonova, L.V., Klyuchnikov, M.M., Loktionov, A.A., Samsonovich, A.V. (2018). Model of communication and coordination in a capture-the-flag paradigm. Procedia Computer Science, 145, pp. 72-76. http://dx.doi.org/10.1016/j.procs.2018.11.012
  • Bogatyreva, A.A., Sovkov, A.D., Tikhomirova, S.A., Vinogradova, A.R., Samsonovich, A.V. (2018). Virtual pet powered by a socially-emotional BICA. Procedia Computer Science, 145, pp. 564-571. http://dx.doi.org/10.1016/j.procs.2018.11.101
  • Dorokhov, V.B., Malakhov, D.G., Orlov, V.A., Ushakov, V.L. (2019). Experimental Model of Study of Consciousness at the Awakening: FMRI, EEG and Behavioral Methods. Advances in Intelligent Systems and Computing, 848, pp. 82-87. http://dx.doi.org/10.1007/978-3-319-99316-4_11
  • Efitorov, A., Orlov, V., Ushakov, V., Shirokiy, V., Dolenko, S. (2018). Comparison of nonlinear methods of motion correction in fMRI data. Procedia Computer Science, 145, pp. 188-192. http://dx.doi.org/10.1016/j.procs.2018.11.038
  • Fetisova, A.A., Vartanov, A.V. (2019). Semantic space and homonymous words. Studies in Computational Intelligence, 799: 250-256. Cham, Switzerland: Springer. http://dx.doi.org/10.1007/978-3-030-01328-8_30
  • Kartashov, S., Ponomarenko, N., Ushakov, V. (2019). The Concept of Functional Tractography Method for Cognitive Brain Studies. Advances in Intelligent Systems and Computing, 848, pp. 162-164. http://dx.doi.org/10.1007/978-3-319-99316-4_21
  • Knyaseva, I., Efitorov, A., Boytsova, Yu., Danko, S., Shiroky, V., Makarenko, N. (2019). Single Trial EEG Classification of Tasks with Dominance of Mental and Sensory Attention with Deep Learning Approach. Studies in Computational Intelligence, 799: 190-195. Cham, Switzerland: Springer. http://dx.doi.org/10.1007/978-3-030-01328-8_21
  • Korosteleva, A., Mishulina, O., Ushakov, V. (2019). Information Approach in the Problems of Data Processing and Analysis of Cognitive Experiments. Advances in Intelligent Systems and Computing, 848, pp. 180-186. http://dx.doi.org/10.1007/978-3-319-99316-4_24
  • Krylov, D.I., Samsonovich, A.V. (2019). Designing an Emotionally-Intelligent Assistant of a Virtual Dance Creator. Advances in Intelligent Systems and Computing, 848, pp. 197-202. http://dx.doi.org/10.1007/978-3-319-99316-4_26
  • Larue, O., West, R., Rosenbloom, P.S., Dancy, C.L., Samsonovich, A.V., Petters, D., Juvina, I. (2018). Emotion in the Common Model of Cognition. Procedia Computer Science, 145, pp. 740-746. http://dx.doi.org/10.1016/j.procs.2018.11.045
  • Orlov, V.A., Ushakov, V.L., Kartashov, S.I., Malakhov, D.G., Korosteleva, A.N., Skiteva, L.I., Samsonovich A.V. (2018). Functional neural networks in behavioral motivations. Studies in Computational Intelligence, 799: 274-283. Cham, Switzerland: Springer. http://dx.doi.org/10.1007/978-3-030-01328-8_33
  • Saakian, D.B., Red’ko, V.G. (2018). Model of interaction between learning and evolution: Computer simulation and analytical results. Biologically Inspired Cognitive Architectures, 26: 96-102. http://dx.doi.org/10.1016/j.bica.2018.09.002
  • Saakian, D.B. and Red'ko, V.G. (2018). Sysers: The important model of self-reproducing system. Biologically Inspired Cognitive Architectures, 24: 115-121. http://dx.doi.org/10.1016/j.bica.2018.04.010
  • Samsonovich, A.V. (2018). Schema formalism for the common model of cognition. Biologically Inspired Cognitive Architectures, 26: 1-19. http://dx.doi.org/10.1016/j.bica.2018.10.008
  • Samsonovich, A.V. (2019). Intellectual Agents based on a cognitive architecture supporting humanlike social emotionality and creativity. Studies in Computational Intelligence, 799: 39-50. Cham, Switzerland: Springer. http://dx.doi.org/10.1007/978-3-030-01328-8_3
  • Samsonovich, A.V., Kuznetsova, K. (2018). Semantic-map-based analysis of insight problem solving. Biologically Inspired Cognitive Architectures, 25: 37-42. http://dx.doi.org/10.1016/j.bica.2018.07.017
  • Shirokii, V., Batusov, R., Chubarov, A., Dolenko, S., Samsonovich, A. (2018). Patterns of Cognitive Activity in a Human vs Collaborative Robot Interactive Game. Procedia Computer Science, 145, pp. 495-499. http://dx.doi.org/10.1016/j.procs.2018.11.112
  • Skiteva, L.I., Ushakov, V.L., Verkhlyutov, V.M. (2018). Analysis of Resting State according to the data of magnetoencephalography. Procedia Computer Science, 145, pp. 520-525. http://dx.doi.org/10.1016/j.procs.2018.11.116
  • Sultanov, A.R., Rumyantsev, N.D., Blinov, E.A. (2018). Virtual moderator using analysis of user trajectories on a semantic map based on convolutional neural networks. Procedia Computer Science, 145, pp. 545-550. http://dx.doi.org/10.1016/j.procs.2018.11.119
  • Ushakov, V.L., Malakhov, D.G., Orlov, V.A., Kartashov, S.I., Kholodny, Y.I. (2019). Research of Neurocognitive Mechanisms of Revealing of the Information Concealing by the Person. Advances in Intelligent Systems and Computing, 848, pp. 310-315. http://dx.doi.org/10.1007/978-3-319-99316-4_41
  • Ushakov, V.L., Orlov, V.A., Kartashov, S.I., Malakhov, D.G. (2018). Ultrafast fMRI sequences for studying the cognitive brain architectures. Procedia Computer Science, 145, pp. 581-589. http://dx.doi.org/10.1016/j.procs.2018.11.099
  • Ushakov, V.L., Sharaev, M.G., Malashenkova, I.K., Krynskiy, S.A., Kartashov, S.I., Orlov, V.A., Malakhov, D.G., Hailov, N.A., Ogurtsov, D.P., Zakharova, N.V., Didkovsky, N.A., Maslennikova, A.V., Arkhipov, A.Y., Strelets, V.B., Arsalidou, M., Velichkovsky, B.M., Kostyuk, G.P. (2018). Basic cognitive architectures and neuroimmune serum biomarkers in schizophrenia. Procedia Computer Science, 145, pp. 596-603. http://dx.doi.org/10.1016/j.procs.2018.11.097
  • Voznenko, T.I., Samsonovich, A.V., Gridnev, A.A., Petrova, A.I. (2018). The principle of implementing an assistant composer. Studies in Computational Intelligence, 799: 300-304. Cham, Switzerland: Springer. http://dx.doi.org/10.1007/978-3-030-01328-8_36


Our Books Citing the RSF Grant # 18-11-00336
  • Редько В.Г. (Vladimir Red’ko) Modeling of Cognitive Evolution: Toward the Theory of Evolutionary Origin of Human Thinking ИЗДАТЕЛЬСКАЯ ГРУППА URSS (Editorial URSS), Москва (2018 г.)

Other Our Publications Since 2015
(this part of the list is under construction)
  • Arinchekhina, J.A., Orlov, V., Samsonovich, A.V., Ushakov, V.L. (2018). Comparative study of semantic mapping of images. Procedia Computer Science, 123, pp. 47-56. http://dx.doi.org/10.1016/j.procs.2018.01.009
  • Azarnov, D.A., Chubarov, A.A., Samsonovich, A.V. (2018). Virtual actor with social-emotional intelligence. Procedia Computer Science, 123, pp. 76-85. http://dx.doi.org/10.1016/j.procs.2018.01.013
  • Buravenkova, Y., Yakupov, R., Samsonovich, A.V., Stepanskaya, E. (2018). Toward a virtual composer assistant. Procedia Computer Science, 123, pp. 553-561. http://dx.doi.org/10.1016/j.procs.2018.01.084
  • Eidlin, A.A., Eidlina, M.A., Samsonovich, A.V. (2018). Analyzing weak semantic map of word senses. Procedia Computer Science, 123, pp. 140-148. http://dx.doi.org/10.1016/j.procs.2018.01.023
  • Karkh, E.D., Samsonovich, A.V. (2018). Designing a creative assistant of a designer. Procedia Computer Science, 123, pp. 212-220. http://dx.doi.org/10.1016/j.procs.2018.01.033
  • Kuznetsova, K., Samsonovich, A.V. (2018). Semantic-map-based approach to designing an insight problem solving assistant. Procedia Computer Science, 123, pp. 258-264. http://dx.doi.org/10.1016/j.procs.2018.01.040
  • Samsonovich, A.V. (2015). Believable character reasoning and a measure of self-confidence for autonomous team actors. AAAI Fall Symposium - Technical Report, FS-15-05, pp. 31-38.
  • Samsonovich, A.V. (2015). Empirical measure of learnability: A tool for semantic map validation. Procedia Computer Science, 71, pp. 265-270. http://dx.doi.org/10.1016/j.procs.2015.12.223
  • Samsonovich, A.V. (2015). Mind ID: A psychologically inspired approach to secure authentication based on memory for faces. AAAI Fall Symposium - Technical Report, FS-15-03, pp. 42-46.
  • Samsonovich, A.V. (2016). Weak semantic map of the Russian language: Preliminary results. Procedia Computer Science, 88, pp. 538-543. http://dx.doi.org/10.1016/j.procs.2016.08.001
  • Samsonovich, A.V. (2018). On semantic map as a key component in socially-emotional BICA. Biologically Inspired Cognitive Architectures, 23, pp. 1-6. http://dx.doi.org/10.1016/j.bica.2017.12.002
  • Samsonovich, A.V., Bondarenko, A.S., Azarnov, D.A. (2016). MAPPED Repository: An information system for the emerging unified community of researchers in cognitive, neuro and computer sciences. Procedia Computer Science, 88, pp. 522-527. http://dx.doi.org/10.1016/j.procs.2016.07.474
  • Samsonovich, A.V., Kitsantas, A., O'Brien, E., De Jong, K.A. (2015). Cognitive processes in preparation for problem solving. Procedia Computer Science, 71, pp. 235-247. http://dx.doi.org/10.1016/j.procs.2015.12.218
  • Samsonovich, A.V., Klimov, V.V., Rybina, G.V. (2016) Advances in Intelligent Systems and Computing, 449. Biologically Inspired Cognitive Architectures (BICA) for Young Scientists: Proceedings of the First International Early Research Career Enhancement School (FIERCES 2016). http://dx.doi.org/10.1007/978-3-319-32554-5
  • Samsonovich, A.V., Tolstikhina, A., Bortnikov, P.A. (2016). A Test for Believable Social Emotionality in Virtual Actors. Procedia Computer Science, 88, pp. 450-458. http://dx.doi.org/10.1016/j.procs.2016.07.463
  • Ushakov, V.L., Samsonovich, A.V. (2015). Toward a BICA-Model-Based Study of Cognition Using Brain Imaging Techniques. Procedia Computer Science, 71, pp. 254-264. http://dx.doi.org/10.1016/j.procs.2015.12.222
  • Vorobiev, I., Samsonovich, A.V. (2018). A conceptually different approach to the empirical test of Alan Turing. Procedia Computer Science, 123, pp. 512-521. http://dx.doi.org/10.1016/j.procs.2018.01.078