Iuliia Kotseruba

Papers

Total Citations

H-Index

About

Iuliia Kotseruba is a leading researcher in cognitive architectures and computational attention, whose work bridges artificial intelligence and cognitive science. Her primary research areas include visual attention modeling, cognitive program execution, and the evolution of cognitive architectures. Kotseruba’s most significant contribution is the development of Cognitive Programs (CPs) and the STAR-RT framework, which implement the Selective Tuning (ST) model of attention for real-time applications. Her 2016 thesis, *Visual Attention in Dynamic Environments and its Application to Playing Online Games* (20 citations), introduced CPs as an executive controller enabling top-down control of visual systems, allowing interaction between low-level vision and high-level task demands. This work culminated in the STAR-RT prototype (2017, 3 citations), the first working implementation of the Selective Tuning Attention Reference model for dynamic environments like video games. Her recent 2025 publication, *The Computational Evolution of Cognitive Architectures* (3 citations), explores the fundamental question of how the human mind operates, tracing the development of cognitive architectures over a century of research. Kotseruba’s work is notable for translating theoretical models of human attention into functional computational systems, with applications in gaming, robotics, and human-computer interaction. Her research continues to influence the field of cognitive systems, demonstrating how biologically-inspired attention mechanisms can enhance artificial intelligence performance in dynamic, real-world environments.