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Learning abstract perceptual notions: the example of space
[article]
2019
arXiv
pre-print
Humans are extremely swift learners. We are able to grasp highly abstract notions, whether they come from art perception or pure mathematics. Current machine learning techniques demonstrate astonishing results in extracting patterns in information. Yet the abstract notions we possess are more than just statistical patterns in the incoming information. Sensorimotor theory suggests that they represent functions, laws, describing how the information can be transformed, or, in other words, they
arXiv:1907.12430v1
fatcat:xai3zyc37vfdnbv4dv5fq7kurm