Abstract
Abstract. Insights from a geoscience communication activity,
verified using preliminary investigations with an artificial neural network,
illustrate that observation of humans' abilities can help design an
effective artificial intelligence or “AI”. Even given only one set of
“training” examples, survey participants could visually recognize which flow
conditions created bedforms (e.g. sand dunes and riverbed ripples) from their
shapes, but an interpreter's geoscience expertise does not help. Together,
these observations were interpreted as indicating that a machine learning
algorithm might be trained successfully from limited data, particularly if
it is “helped” by pre-processing bedforms into a simple shape familiar from childhood play.
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