Персона:
Самсонович, Алексей Владимир

Организационные подразделения

Организационная единица

Институт интеллектуальных кибернетических систем

Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.

Фамилия

Самсонович

Имя

Алексей Владимир

Полная страница элемента

Результаты поиска

Теперь показываю 1 - 10 из 41

Открытый доступ
Virtual partner dance as a paradigm for empirical study of cognitive models of emotional intelligence
(2021) Karabelnikova, Y.; Samsonovich, A. V.; Самсонович, Алексей Владимир
© 2020 Elsevier B.V.. All rights reserved.This work presents a new paradigm for empirical study of cognitive models of emotional intelligence and preliminary results obtained within it. Among computational approaches to modeling human emotions, the eBICA cognitive architecture takes a special place, because it provides a framework for unification of cognitive and physiological models of emotional intelligence, dimensional and componential representations of emotions, and more. Selected paradigm involves spontaneous interactions among three dancing avatars, one or two of which can be controlled by human participants. Available behaviors include selection of a partner, changing facial expressions and dance patterns. Several types of virtual dance partners are implemented based on the eBICA model: "timid", "ringleader", "dancer", "naïve", and intermediate cases. Simulations and empirical data show that the selected approach is useful and can potentially lead to a socially attractive, emotionally intelligent behavior.
Открытый доступ
Designing an Emotionally-Intelligent Assistant of a Virtual Dance Creator
(2019) Krylov, D. I.; Samsonovich, A. V.; Самсонович, Алексей Владимир
© 2019, Springer Nature Switzerland AG. Intelligent agents and co-robots, or cobots, become increasingly popular today as creators of digital art, including robotic or virtual dancing. Arguably, the creativity of such tools is linked to their social-emotional intelligence. In this work we question this hypothesis, extending the general paradigm of an emotionally-intelligent creative assistant (Samsonovich [1]) to virtual dance creation. For this purpose, a semantic map of dance patterns is constructed. Transitions between dance patterns are selected among local transitions on the map, following general rules. The outcome is judged by subjects as a more confident dance, compared to control conditions, when the semantic map was not used. In the proposed creative assistant of a choreographer, the state of emotional coherence of the cobot-assistant and the human user is maintained dynamically. Using the semantic map and M-schemas, the assistant will suggest variants of dance continuation, based on the current emotional state of the human choreographer and the appraisals of choices. It is expected that this approach, combining efforts of the human and the automaton working together in a state of emotional coherence, will be more user-favored and will yield higher productivity and creativity, compared to more traditional tools for virtual dance generation.
Открытый доступ
A proposal for modeling cognitive ontogeny based on the brainin-spired generic framework for social-emotional intelligent actors
(2021) Samsonovich, A. V.; Eidlin, A. A.; Самсонович, Алексей Владимир
Many approaches were proposed to model socially emotional behavior in virtual actors, such as intelligent tutors, creative assistants or team partners. They still lack the 'magic' of human-level cognition and emotionality: systems built for one paradigm appear uncanny outside of its boundary. Natural cognitive systems, on the other hand, can adapt to unexpected environments and paradigms. To capture the robustness of natural cognitive development, a new approach is proposed here that enables the formation of higher cognitive abilities in a model cognitive system, embedded in an unexpected environment. This is achieved on the basis of a naturally developing binding of innate constructs to channels of the interface and features of the environment. The eBICA cognitive architecture used as a basis for this study combines rational, cognitive and somatic factors. Its building blocks are moral schemas and semantic maps. Building our previous study of the eBICA cognitive architecture, the present work takes it to the new level. It is argued that the proposed approach is capable of explaining, based on a unified standpoint, a number of facts and mysteries associated with the human cognitive ontogeny and can provide a basis for the strong Artificial Intelligence. (C) 2021 The Authors. Published by Elsevier B.V.
Открытый доступ
Emotional BICA for non-player characters: New empirical data
(2020) Veselov, N. O.; Chubarov, A. A.; Roshchin, M. N.; Marder, L. M.; Segal, S. M.; Samsonovich, A. V.; Мардер, Лев Михайлович; Самсонович, Алексей Владимир
© 2020 The Authors. Published by Elsevier B.V.Videogame paradigms enter a social level of interaction between a human player and a virtual character (NPC). In this context, it is important to evaluate the believability and perceived emotionality of such NPC in a paradigm that elicits emotionally biased behavior in human players. For this purpose, we conducted a study using a dungeon adventure videogame paradigm with a knight avatar embedded in it. In four kinds of experimental sessions, the avatar was controlled by (1) a rational virtual actor, (2) an emotional virtual actor based on a simplified model of emotionality, (3) an emotional virtual actor based on the eBICA cognitive architecture, and (4) by a human player. Behavioral characteristics of the avatar were blind-judged by Undergrads. Results indicate that having the right model of emotionality is important for believability and social acceptability of a virtual character. In general, the observations allow one to conclude that emotional intelligence is vital for social interactions between humans and virtual actors.
Открытый доступ
Creative virtual composer assistant based on the eBICA framework
(2020) Kostenko, D. O.; Mashtak, I. A.; Fomin, D. D.; Mashtak, D. V.; Razheva, A. V.; Kim, N. V.; Samsonovich, A. V.; Самсонович, Алексей Владимир
© 2020 The Authors. Published by Elsevier B.V.The topic addressed here is the role of emotions in music creation. The fact that musical fragments can be evaluated on a number of emotional scales allows one to create a semantic map of fragments and to use this map as a guidance in music creation. The work presents results of the study of a virtual composer assistant based on the semantic map and on the graph of similarity (computed using LibROSA) of selected 158 musical fragments (Apple Loops). The assistant was built based on the eBICA cognitive architecture framework (Samsonovich, 2013, 2018). Participants were 16 NRNU MEPhI Undergraduate Students. Fragments were combined into compositions by participants guided by the assistant, and then evaluated on a number of scales by other participants. Four experimental conditions were compared: With and without guidance by the map, with and without guidance by the similarity graph. Results indicate that the usage of similarity data by the assistant significantly improves the quality of resulting compositions. At the same time, the effect of usage of the semantic map was found significant only in the absence of hints based on the similarity data. Nevertheless, obtained results support the idea of the semantic map significance in composer assistant's function. One of the next goals in this study will be to generate music automatically, following the dynamics of actual or expected human emotional states, e.g., during a videogame. In general, the advantage of this new technology is in its generality: It will have broad applications in many areas of artificial intelligence.
Только метаданные
Mapping Action Units to Valence and Arousal Space Using Machine Learning
(2024) Gadzhiev, I. M.; Makarov, A. S.; Tikhomirova, D. V.; Dolenko, S. A.; Samsonovich, A. V.; Гаджиев, Исмаил Маратович; Тихомирова, Дарья Валерьевна; Самсонович, Алексей Владимир
Только метаданные
Social–Emotional Conversational Agents Based on Cognitive Architectures and Machine Learning
(2024) Dolgikh,A.A.; Samsonovich,A.V.; Tikhomirova,D.V.; Долгих, Анатолий Андреевич; Самсонович, Алексей Владимир; Тихомирова, Дарья Валерьевна
Только метаданные
On the logic of agent's emotions
(2024) Wang, Y.; Liu, Z.; Samsonovich, A. V.; Klimov, V.; Самсонович, Алексей Владимир; Климов, Валентин Вячеславович
Открытый доступ
Virtual Listener: A Turing-like test for behavioral believability
(2020) Chubarov, A. A.; Tikhomirova, D. V.; Shirshova, A. V.; Veselov, N. O.; Samsonovich, A. V.; Тихомирова, Дарья Валерьевна; Самсонович, Алексей Владимир
© 2020 The Authors. Published by Elsevier B.V.Virtual Listener (VL) is a generalized prototype of a virtual character based on the principles of cognitive architecture eBICA, which uses facial expressions and body language (eyes movements, head rotation) to keep social and emotional contact with the user. Such contact also implies that VL needs to perceive user's facial expression and gaze, and in the long term- A lso intonation of the user's voice, the sentiment and content of user's speech. In this work, we present an approach to modeling a perceptive 3D virtual listener with emotional capabilities. The virtual character has a 3D face that performs real-time, realistic and believable facial expression dynamics. Our primary goal in this study was to evaluate the concept: E.g., to find out whether a virtual-agent-generated behavior can engender feelings of rapport in human speakers comparable to those that a real human listener can cause? At the same time, this article serves a limited purpose and only describes our current progress so far in addressing this question.
Только метаданные
Toward a general believable model of human-analogous intelligent socially emotional behavior
(2020) Samsonovich, A. V.; Chubarov, A. A.; Tikhomirova, D. V.; Eidln, A. A.; Самсонович, Алексей Владимир; Тихомирова, Дарья Валерьевна
© Springer Nature Switzerland AG 2020.Social virtual actors need to interact with users emotionally, convincing them in their ability to understand human minds. For this to happen, an artificial emotional intelligence is needed, capable of believable behavior in real-life situations. Summarizing recent work of the authors, the present paper extends the general state-of-the-art framework of emotional AGI, using the emotional Biologically Inspired Cognitive Architecture (eBICA) as a basis. In addition to appraisals, other kinds of fluents are added to the model: somatic markers, feelings, emotional biases, moods, etc. Their integration is achieved on the basis of semantic maps and moral schemas. It is anticipated that this new level of artificial general socially emotional intelligence will complement the next-generation AGI, helping it to merge into the human society on equal with its human members.