Ankur Mani
Papers
1
Total Citations
7
H-Index
1
About
Ankur Mani is a researcher whose work sits at the compelling intersection of information theory, game theory, and social dynamics. His primary research areas include network communication, quantization theory, and the mathematical modeling of language evolution. Mani’s most notable contribution, the highly cited "Quantization Games on Social Networks and Language Evolution" (2021), introduces a novel framework for understanding how agents—whether human or robotic—develop shared communication protocols when operating under different statistical environments. By framing this as a strategic network quantizer design problem, he provides a rigorous mathematical foundation for analyzing collaboration in human-robot teams and the emergence of linguistic conventions. This work, which has already garnered 7 citations, bridges theoretical computer science with practical questions in multi-agent systems. Mani’s research offers powerful tools for designing more efficient and robust communication networks, making his contributions essential reading for students and researchers interested in the future of distributed intelligence and human-machine collaboration.
Research Focus
Key Achievements
Top Papers
- 1Quantization Games on Social Networks and Language Evolution7 citations · 2021