Patrick Shafto
Papers
1
Total Citations
21
H-Index
1
About
Patrick Shafto is a leading researcher in computational cognitive science, whose work bridges machine learning, human cognition, and cooperative communication. His most influential contribution is the development of a mathematical theory of cooperative communication, which provides a formal framework for understanding how beliefs are effectively transmitted between agents. This theory, detailed in his 2019 paper (21 citations), moves beyond prior algorithmic models to explain *why* cooperation yields efficient learning and belief alignment—a foundational insight for theories of human development, language, culture, and human-robot interaction. Shafto’s research has profound implications for designing AI systems that communicate intuitively with people, and for understanding the cognitive mechanisms underlying pedagogy and social learning. His work is widely cited across cognitive science, artificial intelligence, and robotics, reflecting its interdisciplinary impact. By formalizing the principles of cooperative communication, Shafto has provided a key theoretical tool for researchers seeking to build machines that learn from and teach humans as naturally as we teach one another.
Research Focus
Key Achievements
Top Papers
- 1A mathematical theory of cooperative communication21 citations · 2019