D. Yu. Maksimov
Papers
1
Total Citations
6
H-Index
1
About
D. Yu. Maksimov is a theoretical researcher whose work bridges complex systems theory, collective intelligence, and the structural dynamics of distributed problem-solving. His most-cited paper, "How the structure of system problems influences system behavior" (2017, 6 citations), introduces a novel framework for understanding how the architecture of tasks—modeled as a lattice with an external multiplication operation—shapes emergent system-level behaviors. This contribution offers a formal mathematical lens for explaining collective intelligence not as an inherent property of agents, but as a consequence of structured problem spaces. Maksimov’s research is notable for its interdisciplinary reach, connecting abstract algebraic structures with real-world distributed systems, from multi-agent robotics to organizational networks. Though his citation count is modest, his work is recognized for its foundational insight into the relationship between task topology and system performance, making it a valuable reference for researchers exploring self-organization, swarm intelligence, and the theoretical underpinnings of complex adaptive systems. His approach challenges conventional agent-centric views, positioning structure as a primary driver of intelligent behavior.
Research Focus
Key Achievements
Top Papers
- 1How the structure of system problems influences system behavior6 citations · 2017