Olga Nagoeva

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About

Olga Nagoeva is an emerging researcher working at the intersection of artificial intelligence, cognitive science, and autonomous systems. Her work focuses on developing intelligent decision-making frameworks inspired by the neural architecture of the human brain, with particular emphasis on multi-agent neurocognitive systems. Nagoeva's most notable contribution is her 2021 paper introducing a situational analysis model for intelligent systems grounded in multi-agent neurocognitive architectures, which has garnered 6 citations and proposes a novel approach to replicating cognitive brain functions through intelligent software agents. Building on this foundation, her 2022 research extended these principles to the domain of natural language processing for autonomous robots, exploring how neurocognitive models can enable machines to understand mission-level instructions expressed in natural language — a critical challenge in modern robotics. Together, these works position Nagoeva as a researcher bridging computational neuroscience and practical AI applications. While still early in her citation trajectory, her interdisciplinary approach connecting brain-inspired computation with autonomous systems reflects a promising and timely research direction with significant implications for the future of human-robot interaction and intelligent control systems.