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Towards Understanding How Machines Can Learn Causal Overhypotheses.
Eliza Kosoy
David M. Chan
Adrian Liu
Jasmine Collins
Bryanna Kaufmann
Sandy Han Huang
Jessica B. Hamrick
John F. Canny
Nan Rosemary Ke
Alison Gopnik
Published in:
CoRR (2022)
Keyphrases
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data sets
information systems
bayesian networks
graphical models
human intelligence
gain a deeper understanding
real time
knowledge base
artificial neural networks
multi class
knowledge acquisition
causal models
causal relationships
deeper understanding
causal reasoning
causal inference