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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.

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Самсонович

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Алексей Владимир

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Теперь показываю 1 - 10 из 53

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Socially emotional brain-inspired cognitive architecture framework for artificial intelligence
(2020) Samsonovich, A. V.; Самсонович, Алексей Владимир
© 2019 Elsevier B.V.Artificial Intelligence of the next generation needs to interact with users socially, convincing them in its ability to understand human minds, including emotions. For this to happen, an artificial emotional intelligence is needed, capable of adequate, believable behavior in social emotional interactions. Building on previous developments, the present work extends the general framework of emotional Biologically Inspired Cognitive Architecture (eBICA: Samsonovich, 2013, 2018), endowing it with fluents describing, in addition to appraisals, somatic markers, feelings, emotions, moods, emotional reactions and biases. Key building blocks that integrate them are moral schemas and semantic maps. The model describes interaction of three factors: plans and commitments, moral and ethical values, and somatic comfort. Learning in this framework includes self-organization of semantic maps that in turn may provide guidance for active humanlike learning. Implications for empirical studies and practical applications are discussed together with the expected impact.
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A Study of Conversational Intentionalities Expressed in Natural Language Using ChatGPT
(2024) Pavlenko, I. A.; Zakirov, A. D.; Yakovlev, A. N.; Samsonovich, A. V.; Павленко, Иван Александрович; Самсонович, Алексей Владимир
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Physical simulation of oscillation and falling effects of objects in indoor earthquake scenarios
(2022) Chu, Y.; Liu, Z.; Liu, T.; Chai, Y.; Samsonovich, A. V.; Самсонович, Алексей Владимир
© 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.When an earthquake occurs, indoor objects oscillate and fall, creating a hazardous evacuation environment. However, physical effects of oscillating and falling indoor objects during earthquakes are often ignored in the existing crowd emergency evacuation simulation studies. As a result, existing models will produce predictions that differ from the outcomes of real events. Here we propose a physics-based simulation model for an indoor seismic event scenario, focusing on movable and flexible components. We predict the motion of movable components during earthquakes using simulations based on seismic data and physical laws. In doing this, we also simulate oscillations of flexible components using a driven harmonic oscillator model. The results showed that the simulated scenario had a high degee of physical realism and rationality.
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Intellectual agents based on a cognitive architecture supporting humanlike social emotionality and creativity
(2019) Samsonovich, A. V.; Самсонович, Алексей Владимир
© Springer Nature Switzerland AG 2019.Human-friendly virtual and physical collaborative robots, or cobots, will work side-by-side with users as helping minds and hands in a variety of creative cognitive tasks, including design, invention, creation of art, or goal setting in unexpected situations in unpredictable environments. These tasks require autonomous reasoning and engage social-emotional attitudes, because the cobot needs to maintain mutual trust with the team or the user. In addition, the cobot needs to understand the global context to be able to determine its role and specific task in a joint mission. All this can be achieved based on a cognitive architecture, supporting social-emotional and narrative reasoning. A general concept of such architecture is presented here, together with an overview of evaluations of prototypes and potential practical applications.
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A Platform for in-Depth Study of Social Interactions Between Users and Virtual Agents
(2026) Dolgikh, A.; Navrotskaya, A.; Samsonovich, A. V.; Долгих, Анатолий Андреевич; Самсонович, Алексей Владимир
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Integrating LLMs and self-regulated learning in cognitive architectures: a case study in essay-writing tutoring
(2026) Dolgikh, A.; Khabarov, D. L.; Samsonovich, A. V.; Долгих, Анатолий Андреевич; Самсонович, Алексей Владимир
Только метаданные
Virtual Tutor for Programming: A Pilot Study
(2026) Machulin, V. V.; Samsonovich, A. V.; Самсонович, Алексей Владимир
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A Socially Acceptable Conversational Agent Based on Cognitive Modeling and Machine Learning
(2024) Dolgikh, A. A.; Samsonovich, A. V.; Долгих, Анатолий Андреевич; Самсонович, Алексей Владимир
Только метаданные
Virtual Convention Center: A Socially Emotional Online/VR Conference Platform
(2021) Samsonovich, A. V.; Chubarov, A. A.; Самсонович, Алексей Владимир
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.A cognitive model, producing believable socially emotional behavior, is used to control the Virtual Actor behavior in an online scientific conference paradigm. For this purpose, a videogame-like platform is developed, in which Virtual Actors are embedded as poster presenters, receptionists, etc. The expectation is that the combination of somatic factors, moral appraisals and rational values in one model has the potential to make behavior of a virtual actor more believable, humanlike and socially acceptable. Implications concern future intelligent cobots and virtual assistants, particularly, in online conferencing and distance learning platforms and in intelligent tutoring systems.
Только метаданные
Neuro-Correlates of the eBICA Model
(2020) Orlov, V. A.; Shigeev, S. V.; Ushakov, V. L.; Kartashov, S. I.; Samsonovich, A. V.; Ушаков, Вадим Леонидович; Самсонович, Алексей Владимир
© 2020, Springer Nature Switzerland AG.The article presents a new approach to building semantic maps based on the use of the eBICA model and the calculation of neurophysiological correlates of behavioral motives based on fMRI data. In this study, a social videogame paradigm was used in combination with fMRI and other recording tools. The obtained data show the complex neural network dynamics of behavioral motives distributed on the cortical and subcortical regions of the brain, related to the interaction of a person with the collaborative non-player character powered by the eBICA cognitive architecture.