KnitCity: a machine learning-based, game-theoretical framework for prediction assessment and seismic risk policy design. (arXiv:2205.02679v1 [cs.LG])

Knitted fabric exhibits avalanche-like events when deformed: by analogy with
eathquakes, we are interested in predicting these "knitquakes". However, as in
most analogous seismic models, the peculiar statistics of the corresponding
time-series severely jeopardize this endeavour, due to the time intermittence
and scale-invariance of these events. But more importantly, such predictions
are hard to {\it assess}: depending on the choice of what to predict, the
results can be very different and not easily compared. Furthermore, forecasting
models may be trained …

arxiv design framework game learning machine machine learning policy prediction risk