Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP180103600
Funding Status
Closed
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Funded Activity Summary
Where do inductive biases come from? A Bayesian investigation. This project aims to investigate the origin of our thinking and learning biases using state-of-the-art mathematical models and sophisticated experimental designs. Expected outcomes include bridging the gap between human and machine learning by pairing mathematical modelling with experimental work, forming a necessary step toward the development of machine systems that can reason like people do. This will provide significant benefits such as understanding how people 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: 03-2018
End Date: 03-2022
Funding Scheme: Discovery Projects
Funding Amount: $290,011.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Cognitive Science | Knowledge Representation and Machine Learning | Decision Making
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in Psychology and Cognitive Sciences |
