Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP110104949
Funding Status
Closed
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Funded Activity Summary
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.Funded Activity Details
Start Date: 03-2011
End Date: 12-2016
Funding Scheme: Discovery Projects
Funding Amount: $454,995.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Cognitive Science | Cognitive Science not elsewhere classified | Knowledge Representation and Machine Learning
