2026/2027
Воплощенный ИИ и нейровычислительная семантика
ID 1121860
Статус:
Маго-лего
Где читается:
Факультет компьютерных наук
Охват аудитории:
для своего кампуса
Преподаватели:
Скрынникова Инна Валериевна
Язык:
русский
Кредиты:
6
Контактные часы:
40
Программа дисциплины
Аннотация
This graduate course explores the convergence of embodied cognition, artificial intelligence, computational linguistics and neurocomputational approaches to semantic representation. Grounded in the premise that meaning is rooted in sensorimotor experience, the course introduces Embodied Construction Grammar (ECG) as a formal model for representing language as structured simulations of perceptual and action-based schemas. Through a series of lectures and interactive seminars, students examine how intelligent agents—both biological and artificial—ground linguistic meaning in sensorimotor experience and environmental interaction. The curriculum critically evaluates contemporary paradigms such as language-conditioned reinforcement learning, multimodal foundation models with embodied interfaces that acquire semantics through physical interaction. Seminar sessions emphasize hands-on analysis of experimental methodologies, replication studies from embodied AI research. The course equips students to design and evaluate AI systems whose semantic capabilities emerge from situated interaction rather than purely statistical pattern recognition. Learning outcomes include the ability to critique disembodied language models, implement simple embodied semantic architectures, and articulate the theoretical foundations linking bodily experience to representational content in both natural and artificial intelligence.