Anastasiia Bazanova
Papers
1
Total Citations
3
H-Index
1
About
Anastasiia Bazanova is a researcher advancing the field of artificial intelligence and knowledge representation, with a primary focus on mivar technologies and logical inference systems. Her work centers on developing automated methods for constructing and reasoning within mivar knowledge bases, particularly for complex spatial problems. In her most cited paper, "Automated search for several alternative logical inferences in a mivar knowledge base" (2024), she introduces a novel approach to automatically generating a three-dimensional logic space knowledge base, specifically designed to enable three-dimensional robot movement. This contribution addresses a critical challenge in robotics and AI: the efficient, automated creation of knowledge structures that support dynamic, multi-path reasoning. While her citation count is currently modest (3 citations), her work represents an important step toward scalable, autonomous knowledge base generation for real-world applications. Bazanova’s research is particularly notable for its potential to streamline the development of intelligent systems capable of navigating and interacting with three-dimensional environments, making her a promising voice in the intersection of knowledge engineering and robotics.
Research Focus
Key Achievements
Top Papers
- 1