Robin Glinton
Papers
1
Total Citations
26
H-Index
1
About
Robin Glinton is a researcher whose work lies at the intersection of multi-agent systems, social network analysis, and distributed artificial intelligence. His most cited contribution, "Agent Organized Networks Redux" (2008, 26 citations), addresses a fundamental challenge in decentralized systems: how individual agents—whether robots, sensors, or software entities—can efficiently form coalitions to accomplish shared tasks without global knowledge. Glinton’s key insight is that social network structures can be leveraged to reduce the complexity of agent interactions, making large-scale coordination feasible in real-world environments like sensor networks or electronic markets. By demonstrating how agents can organize themselves into effective, scalable networks, his work has implications for swarm robotics, distributed computing, and collaborative AI. While his citation count reflects a focused but impactful contribution, Glinton’s research provides a foundational framework for understanding how autonomous entities can self-organize in the absence of centralized control—a problem that remains central to modern multi-agent systems and the Internet of Things.
Research Focus
Key Achievements
Top Papers
- 1Agent organized networks redux26 citations · 2008