Gergely Csibra, György Gergely
Obsessed with goals': functions and mechanisms of teleological interpretation of actions in humans
Acta psychologica
people learning new concepts often generalize successfully single example yet machine learning algorithms typically require tens hundreds examples perform similar accuracy people also use learned concepts richer ways conventional algorithmsfor action imagination explanation present computational model captures human learning abilities large class simple visual concepts handwritten characters worlds alphabets model represents concepts simple programs best explain observed examples bayesian criterion challenging oneshot classification task model achieves humanlevel performance outperforming recent deep learning approaches also present several visual turing tests probing models creative generalization abilities many cases indistinguishable human behavior