[Cite as http://purl.org/au-research/grants/arc/DP110104949]
Dr Daniel Navarro
Dr Amy Perfors
A/Prof Joshua Tenenbaum
Brief description How are beliefs altered by data? Robust Bayesian models for human inductive learning. This project applies state of the art mathematical models to study how people think and reason, and how we can make good guesses about the future. The goal is to understand how the human mind can operate so effectively in real environments, when even the most powerful computers struggle to handle the complexities of everyday learning problems.
Funding Amount $454,995
Funding Scheme Discovery Projects
View this grant in the ARC Data Portal